# Amulya Jain

**AI & ML Engineer | Full-Stack Developer | Building AI Agents & ML Systems**

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Personal portfolio of Amulya Jain — AI & ML Engineer and Full-Stack Developer. Ex-SWE Intern at Dell Technologies building multilingual voice interfaces, agentic AI pipelines, multimodal ML models and production backend systems.

## Contact

- Email: jainamulyawin@gmail.com
- Phone: +91 9950286622
- Location: Jaipur, Rajasthan, India
- Resume: https://drive.google.com/drive/folders/1UqRFN7WSm7xPPuoPZxtJ5ZpjnaDlVtW7?usp=drive_link
- GitHub: https://github.com/AmulyaJain2004
- LeetCode: https://www.leetcode.com/amulya_89-curious
- Codeforces: https://codeforces.com/profile/dark_alokik_engg
- Kaggle: https://www.kaggle.com/amulyajain@2004
- Hugging Face: https://huggingface.co/Alokik089
- CodeChef: https://www.codechef.com/users/alokik_engg_89
- HackerRank: https://www.hackerrank.com/profile/jainamulyawin
- Codolio: https://codolio.com/profile/AlokikEngineer
- LinkedIn: https://www.linkedin.com/in/amulya-jain04

## Skills

- **Programming Languages:** C, C++, Java, Python, JavaScript, SQL, Bash
- **AI / ML & Agentic Systems:** Data Science, Machine Learning, Deep Learning, GenAI, AI Agents, MCP, PyTorch, Scikit-learn, LangChain, Pandas, NumPy, Matplotlib, Seaborn, Plotly, Jupyter, Anaconda
- **Web:** HTML, CSS, Markdown, JSON, Tailwind CSS, Bootstrap, React, Node.js, Express.js
- **Backend Frameworks:** Django, Django REST Framework, FastAPI
- **Databases:** SQLite, MySQL, PostgreSQL, MongoDB, ChromaDB
- **DevOps & Deployment:** Docker, MLflow, GitHub Actions, Vercel, Netlify, Render, Neon
- **Tools & Version Control:** Git, GitHub, Postman, Bash Scripting
- **Core CS:** System Design, Data Structures & Algorithms, OOPs, DBMS, Operating Systems, Computer Networks

## Projects

### AI Voice Agent for Intelligent Call Delegation System

- Role: Team Lead · AI Systems & Backend Engineer (team project)
- Date: 
- Categories: project
- Tech: Python, FastAPI, Ollama, faster-whisper, Piper TTS, Twilio, RAG, NLTK
- GitHub: https://github.com/AmulyaJain2004/AI-Voice-Calling-Assistant
- Demo: https://drive.google.com/file/d/1vVrGSdgSwzkBOA-jc9plIGaviiQhFFwx/view?usp=sharing

### Overview

Automated call handling usually depends on cloud speech and language APIs, which introduces recurring per-call cost and sends caller audio to third parties. This project investigates whether a conversational voice agent can instead run entirely on local infrastructure while remaining responsive enough for natural telephone dialogue.

### System Design

The agent is organised as a five-stage streaming pipeline: voice activity detection (VAD), speech-to-text (STT), language-model response generation, text-to-speech (TTS), and telephony transport.

- **Speech recognition:** faster-whisper transcribes caller audio locally.
- **Language model:** a small Llama 3.2 model served through Ollama generates responses.
- **Speech synthesis:** Piper TTS renders replies with low synthesis delay.
- **Telephony:** Twilio Media Streams connects the pipeline to live phone calls, served by a FastAPI backend.
- **Turn-taking:** energy-based voice activity detection manages turns and supports barge-in, so the caller can interrupt the agent naturally.

### Memory and Retrieval

Response relevance is improved by a three-layer memory system:

1. **Ground-truth knowledge** that acts as the authoritative source of facts.
2. **Caller profile**, extracted with regular expressions and stored as structured JSON.
3. **Sparse retrieval** over earlier conversation content using TF-IDF.

### Results

The pipeline achieves an end-to-end response time of roughly **1.5 to 2.5 seconds** on CPUs, without any per-call inference cost.

### My Contribution

This was a group project, and I was the team lead. Alongside coordinating the team, I developed the end-to-end pipeline and its integrations, together with the backend and AI components that connect speech, language and telephony stages.

### Attendance Tracker

- Role: Sole Developer (Django)
- Date: 
- Categories: project
- Tech: Python, Django, SQLite, HTML, CSS, Bootstrap
- GitHub: https://github.com/AmulyaJain2004/AttendanceTracker

### Overview

Universities commonly require a minimum attendance, and students often track it by hand. This application records each class and calculates the running attendance percentage for every course, so a student can see where they stand.

### Features

- Create and manage multiple courses.
- Record several classes per day, each with a date, a time slot and a status of attended, missed or cancelled.
- View the attendance percentage for each course.

### Design

The data model has two entities: a course, and an attendance record linked to a course by a foreign key. The percentage is computed on the course model as attended classes divided by total classes, and cancelled classes are excluded from the total so they do not count against the student. The interface is rendered with Django templates styled with Bootstrap, on a SQLite database.

### Status

This is a personal, early-stage learning project that I developed on my own. It does not yet include user accounts, exports or notifications, all of which are planned in the repository roadmap. It has not been deployed publicly.

### Bureaucracy Escape Room - OpenEnv Hackathon

- Role: Sole Developer (RL Environment)
- Date: 
- Categories: hackathon
- Tech: Python, Docker, OpenAI API, Reinforcement Learning, Hugging Face Spaces
- GitHub: https://github.com/AmulyaJain2004/HackOpenEnv
- Live: https://huggingface.co/spaces/Alokik089/bureaucracy_escape_room

### Overview

The OpenEnv Hackathon asked participants to build real-world environments for training and evaluating agents. "Bureaucracy Escape Room" models a familiar problem: obtaining a permit by moving between departments, gathering the right documents and satisfying requirements that depend on one another.

### Environment Design

- **Tasks:** three deterministic tasks of increasing difficulty. A dog licence has a short linear chain of steps. A business permit adds circular dependencies with a hidden workaround. A construction permit requires coordinating several departments under ordering constraints, with substitute documents.
- **Observations:** the agent sees its current department, feedback from the clerk, collected documents, completed milestones, the actions available in the current state and the step count, with occasional hints.
- **Actions:** the agent chooses from the actions available in its current state and may attach a short natural-language note.
- **Rewards:** dense per-step progress rewards, step penalties for inefficiency, penalties for repeating the same action, and a bonus for a successful permit, all normalised to the range 0 to 1.

### Evaluation

Each episode is graded by a deterministic function that scores milestone progress, final success and step efficiency between 0 and 1. As a baseline, a gpt-4o-mini agent completed all three tasks, scoring 0.68 on the dog licence in 8 steps, 0.72 on the business permit in 15 steps and 0.68 on the construction permit in 21 steps.

### Status

This was a solo hackathon project: I designed and built the environment, reward structure, grader and deployment myself. It is packaged with Docker, includes validation scripts, and is deployed as a Hugging Face Space.

### CtrlX Error - Collaborative Bug Tracker

- Role: Team Lead · Backend & AI Integration Engineer (team project)
- Date: 
- Categories: project
- Tech: React, Node.js, Express.js, MongoDB, Tailwind CSS, Socket.IO, OpenRouter API, JWT, Recharts
- GitHub: https://github.com/AmulyaJain2004/CtrlX_Error
- Live: https://ctrl-x-error.vercel.app/

### Overview

Software teams need a shared, auditable record of defects and who is responsible for them. CtrlX Error is a web application that lets administrators, testers and developers report, assign, update and monitor bugs through workflows tailored to each role.

### Features

- **Role-based access** for admin, tester and developer users, secured with JWT authentication and bcrypt password hashing.
- **Bug lifecycle management** with priority and severity levels, file attachments and checklist tracking.
- **Real-time chat** over Socket.IO across one-to-one, team and public channels, with AI-powered technical assistance through the OpenRouter API.
- **Analytics and reporting** through dashboard charts and Excel exports.

### Architecture

A React frontend built with Vite and Tailwind CSS communicates with a Node.js and Express REST backend that persists data in MongoDB through Mongoose. The frontend is deployed on Vercel and the backend on Render.

### My Contribution

This was a four-member team project developed with an agile, incremental approach, and I was the team lead. I worked mainly on the backend and the AI integrations, and was responsible for integration, deployment and version control.

### Machine Learning House Price Prediction

- Role: Sole Developer
- Date: 
- Categories: poc
- Tech: Python, NumPy, Pandas, Matplotlib, Seaborn, SciPy, Scikit-learn
- GitHub: https://github.com/AmulyaJain2004/HousePricePrediction

### Overview

This proof of concept studies a real-estate dataset in two steps: first understanding which factors influence house prices, then building machine-learning models that predict them. It follows the standard workflow for a tabular regression problem from raw data to a fitted model.

### Analysis Components

- **Dataset overview and data quality assessment.**
- **Statistical summary and distribution analysis.**
- **Data cleaning and preprocessing.**
- **Exploratory data analysis (EDA).**
- **Feature engineering and correlation analysis.**
- **Model development** using regression techniques from scikit-learn.

### Status

A proof of concept for practising the end-to-end analysis workflow. It has no hosted demo.

### Explainable ML for Internal Wave Detection in SAR Imagery

- Role: Research Contributor (Literature Review & Methodology Discussion) (team project)
- Date: 2026-01-01
- Categories: research
- Tech: Python, Machine Learning, SAR Image Processing, Feature Engineering, XGBoost, SHAP

### Overview

Internal waves are large-amplitude waves that travel within the ocean rather than at its surface. They leave faint signatures on the sea surface that synthetic aperture radar (SAR) can capture, so satellite imagery is a practical source for detecting them. This research project studies how machine learning can detect internal-wave regions in SAR images, and how explainability methods can show which image characteristics drive those detections.

### Project Scope

The project compares detection approaches that draw on frequency-domain analysis, textural and morphological descriptors, and machine-learning models such as gradient-boosted trees, with SHAP used to explain model behaviour in terms of spectral, textural and morphological features.

### My Contribution

This was a collaborative project carried out under the supervision of a faculty member. The implementation and main experimental work were led by a colleague, and I am a co-author of the paper together with them and our supervisor. My part was:

- **Literature review:** I surveyed the research on SAR-based internal-wave detection, covering frequency-domain, textural, morphological and machine-learning methods, and summarised it for the team.
- **Methodology discussion:** I took part in discussions comparing alternative feature-engineering and machine-learning approaches, and in deciding the direction of the experiments.
- **Interpretation:** I joined the discussions on reading the results and the explainability findings.

### Status

The paper, co-authored with my colleague and our faculty supervisor, is currently under journal review.

### Multimodal Product Price Prediction

- Role: Team Lead · Machine Learning Engineer (team project)
- Date: 
- Categories: project, hackathon
- Tech: Python, PyTorch, Scikit-learn, NumPy, Pandas, NLTK
- GitHub: https://github.com/AmulyaJain2004/Amazon-ML-Challenge-2025

### Overview

Product price depends on information spread across several modalities: the wording of a listing and the appearance of the item. This project, built for Amazon ML Challenge 2025, predicts price by learning jointly from product text and product images rather than from either alone.

### Approach

- **Text branch:** a bidirectional LSTM with an attention mechanism encodes the product description.
- **Image branch:** a ResNet extracts visual features from product images.
- **Fusion:** the two representations are combined into a single prediction head.

### Training and Evaluation

Prices are heavily skewed, which destabilises naive regression. Training on **75,000** samples was stabilised with robust feature scaling, log-transformed targets and a custom loss based on the symmetric mean absolute percentage error (SMAPE), the competition metric.

### Results

The final model reached a SMAPE of **50.92**, ranking **1565** among roughly **9,000** teams.

### My Contribution

This was a group project, and I was the team lead. I worked with my teammates on model building and on improving the performance of the trained model, including training on A100 GPUs.

### Notes App

- Role: Sole Developer (Full-Stack)
- Date: 
- Categories: project
- Tech: Django, Django REST Framework, React, Vite, JWT, PostgreSQL
- GitHub: https://github.com/AmulyaJain2004/Notes-app

### Overview

This project implements a personal notes application in which each user can create, read, update and delete only their own notes. Its main purpose was to practise designing a secure API and connecting it to a single-page frontend.

### Features

- **Authentication:** users register, log in and receive JSON Web Tokens. The client refreshes tokens automatically, so sessions continue without repeated logins.
- **Data isolation:** every request is scoped to the authenticated user, so users only see their own notes.
- **Notes management:** create, edit and delete notes, with the interface updating without a page reload.

### Architecture

The backend uses Django 5.1 and Django REST Framework and exposes seven endpoints for registration, token issue and refresh, and note listing, creation, update and deletion. It runs on PostgreSQL or SQLite. The frontend is a React 18 application built with Vite that uses React Router for navigation and Axios for API calls.

### Status

This is a personal project that I designed and developed on my own. The application covers the core workflow only. Sharing, collaboration and offline support are not implemented, and it has not been deployed publicly.

### Task Management System

- Role: Sole Developer (Full-Stack)
- Date: 
- Categories: project
- Tech: React, Vite, Node.js, Express.js, MongoDB, Tailwind CSS, JWT, Recharts
- GitHub: https://github.com/AmulyaJain2004/TaskManagementSystem
- Live: https://task-management-system-blush-delta.vercel.app

### Overview

Small teams often track work in scattered lists and messages. This project provides a single web application where an administrator creates and assigns tasks and members update their progress, with role-based permissions controlling what each person can see and change.

### Features

- **Admin workflow:** create, update and delete tasks, manage team members, view dashboard analytics as charts, and export task reports to Excel.
- **Member workflow:** a personal dashboard, a view of assigned tasks, task detail pages with attachments, status updates, and profile editing.
- **Security:** JWT-based login and signup, bcrypt password hashing, and route protection on both the client and the API. Administrator-only endpoints cover user management, task creation and deletion, and report export.
- **File attachments** on tasks through Multer uploads.

### Architecture

The React 19 frontend (built with Vite, styled with Tailwind CSS, charts by Recharts) talks to a Node.js and Express REST API. MongoDB stores users and tasks through Mongoose. The backend follows a conventional controllers, routes, middleware and models layout, and ExcelJS generates the reports. The frontend is deployed on Vercel and the backend on Render.

### Status

This is a personal project that I designed and developed on my own. The application is functional and deployed, and it is a learning project focused on role-based access control and full-stack integration, so it does not include features such as notifications or team-level workspaces.

### AI Tic-Tac-Toe Game

- Role: Sole Developer
- Date: 
- Categories: project
- Tech: Python, Tkinter, Pandas, Matplotlib, CSV
- GitHub: https://github.com/AmulyaJain2004/Tic-Tac-Toe-Game

### Overview

This project implements Tic-Tac-Toe as a desktop application, and uses the small game as a vehicle for practising several fundamentals together: object-oriented design, graphical interfaces, file handling, adversarial search and data analysis.

### Features

- **Two modes:** play against the computer or against another player.
- **AI opponent:** the computer chooses moves with the minimax algorithm, so it never loses a game it can avoid losing.
- **Scoreboard:** results are recorded and tracked across games.
- **Analysis:** game records are stored in CSV files and analysed with pandas, with matplotlib used to visualise the outcomes.

### What It Demonstrates

File handling, object-oriented programming, GUI development with Tkinter, data analysis with pandas and matplotlib, and the implementation of a game-playing algorithm (minimax).

### Status

A small learning project. It is a desktop application and has no hosted demo.

### UPES Programming Courses Repository Website

- Role: Sole Developer (Full-Stack)
- Date: 
- Categories: opensource
- Tech: Django, React, HTML, CSS, JavaScript, GitHub API
- GitHub: https://github.com/AmulyaJain2004/UPES_Courses_through_Notes_and_Codes
- Live: https://upes-courses-through-notes-and-code.vercel.app/

### Overview

Course material is often scattered across notes, lab files and assignments. This project pairs an open repository of resources, labs and assignments for the programming courses at the University of Petroleum and Energy Studies (UPES) with a website for browsing it. It is intended for students reviewing course material and for educators looking for additional resources.

### Design

I built the current version as a full-stack application with a Django backend and a React frontend, and deployed it on Vercel. The repository is organised by year, semester and course, and covers subjects such as C, Python, Linux and Bash scripting, data structures and algorithms, algorithm design and analysis, elements of AI and ML, applied machine learning, and Java object-oriented programming.

### History

The first version, built in my first year, was a plain HTML, CSS and JavaScript site hosted on GitHub Pages, with a small Node.js backend on Render that read the repository through the GitHub API. The site has since moved to the Django and React version on Vercel.

### Status

The site is live and still in development, and the repository is open to contributions and updates.

### UPES Homepage Redesign

- Role: Sole Developer
- Date: 
- Categories: learning
- Tech: HTML, CSS, Bootstrap, JavaScript, GitHub Pages
- GitHub: https://github.com/AmulyaJain2004/Amulya-UPES-website
- Live: https://amulyajain2004.github.io/Amulya-UPES-website/

### Overview

This is a fresh redesign of the UPES homepage, aiming to improve the user interface and experience while keeping the layout clean and professional. It was built as part of my personal web development practice.

### Approach

The page is built with HTML, CSS, Bootstrap and JavaScript and is hosted on GitHub Pages.

### Status

A learning project from my first year at university. It is a visual redesign of a single page, not a production site.

## Experience

### Software Engineer Intern — Dell Technologies

- 2026-06 to 2026-07
- Bengaluru, Karnataka (On-site), Internship
- Skills: Python, Bash Scripting, MCP, Agentic AI, vCenter, ESXi, KVM

### Highlights

- Shipped a **cross-platform VM deployer tool**, unifying manual (.ova) deployment steps across **3 platforms** (vCenter, ESXi & KVM servers).
- Deployed **40+ VMs** via an end-to-end provisioning pipeline, accelerating AI & Data Networking teams.
- Designed an **Agentic AI Notifier** by orchestrating Devin AI agents, integrating **Model Context Protocol (MCP)** across **5+ GitHub orgs** to retrieve issues, open PRs, suggest resolutions, auto-notifying via a dashboard.

### AI Developer Intern — Technoace Consultancy Services Pvt Ltd

- 2025-05 to 2025-07
- Jaipur, Rajasthan (On-site), Internship
- Skills: Python, Django, PostgreSQL, GPT-4o, Google Cloud APIs, WebSockets

### Highlights

- Enabled hands-free use across **10+** Indian languages via a **Multilingual Voice-Form Agent** (Google Cloud APIs: STT, TTS, Translate).
- Built a custom image/video-to-JSON pipeline via **GPT-4o** API & prompt engineering to auto-generate product details.
- Streamlined **3 core modules** (product, order & user) via a modular **Django + PostgreSQL** REST backend.

### Python Developer Intern — Technoace Consultancy Services Pvt Ltd

- 2024-06 to 2024-07
- Jaipur, Rajasthan (Remote), Internship
- Skills: Python, Django, Django REST Framework, HTML, CSS, JavaScript

### Highlights

- Developed an **Online Exam Portal LMS** (Django) with role-based access for **3 user roles** (admin, teacher, student).
- Facilitated teachers to upload question banks for **auto-generated MCQ quizzes**, with instant grading & feedback.

### Open Source Contributor (2025) — Hacktoberfest

- 2025-10 to 2025-10
- Remote (Remote), Volunteer
- Skills: Open Source, Git, GitHub

### Highlights

- Open-source contributor during Hacktoberfest 2025.

### Contributor (GSSoC 2025) — GirlScript Summer of Code

- 2025-07 to 2025-10
- Remote (Remote), Volunteer
- Skills: Open Source, Git, GitHub

### Highlights

- Open-source contributor at GirlScript Summer of Code 2025.

### Open Source Contributor (2024) — Hacktoberfest

- 2024-10 to 2024-10
- Remote (Remote), Volunteer
- Skills: Open Source, Git, GitHub

### Highlights

- Open-source contributor during Hacktoberfest 2024.

### Contributor (GSSoC 2024 & Extd. 2024) — GirlScript Summer of Code

- 2024-05 to 2024-11
- Remote (Remote), Volunteer
- Skills: Open Source, Git, GitHub, Web Development

### Highlights

- Resolved bugs and contributed across a variety of open-source web development projects; resolved git merge conflicts.
- **3** Pull Requests merged in Extd. 2024; achieved overall **Rank 355** among **32,000+** participants.
- Awarded the Postman API Fundamentals certification, a HackWeb3 badge, and multiple badges and points for contributions.

### Secretary (Executive) — Institution of Engineering and Technology (IET) UPES Community

- 2025-07 to 2026-05
- Dehradun, Uttarakhand (On-site), Leadership
- Skills: Leadership, Event Management, Web Development

### Highlights

- Led 6-chapter heads and core committees, directing **5** events including Campus X Corporate, System Crash and Carlsen Checkmate.
- Spearheaded development of the IET website ([upesiet.org](https://www.upesiet.org/)), overseeing the technical team from planning to deployment.

### Associate Technical Head — Institution of Engineering and Technology (IET) UPES Community

- 2024-11 to 2025-06
- Dehradun, Uttarakhand (On-site), Leadership
- Skills: Leadership, DSA, AI/ML

### Highlights

- Speaker at the DSA & AIML Workshop.
- Coordinated community initiatives and events.

### Core Member — Google Developer Group (GDG) on Campus UPES

- 2024-09 to 2025-07
- Dehradun, Uttarakhand (On-site), Leadership
- Skills: Git, GitHub, Open Source, Public Speaking

### Highlights

- Delivered Git, GitHub & open-source workshops to **100+** participants as a speaker, including "Get Set GIT 3.0" (open-source introductory event).
- Collaborated on event planning and execution.

### Technical Core Member — Cloud Security Alliance (CSA) UPES Student Chapter

- 2024-07 to 2025-05
- Dehradun, Uttarakhand (On-site), Leadership
- Skills: Node.js, Express.js, MongoDB, MERN, HTML, CSS, Bootstrap, JavaScript

### Highlights

- Developed the backend (Node.js, Express.js) and MongoDB database for the UPES-CSA event website with the MERN stack, alongside the frontend team.
- Led a team of technical members on a web application that fetches a timetable stored as JSON to the frontend.
- Developed a college clone website using HTML, CSS, Bootstrap & JS.
- Received a Letter of Appreciation & Star Performer Recognition from the CSA Technical Committee.

### Technical Core Member — Association for Computing Machinery (ACM) UPES Student Chapter

- 2023-11 to 2025-03
- Dehradun, Uttarakhand (On-site), Leadership
- Skills: C, DSA, HTML, CSS, JavaScript, Mentoring

### Highlights

- Guided juniors in C programming and Data Structures & Algorithms; assisted in SPY-C sessions.
- Built a portfolio website using HTML, CSS and JS.
- Contributed to improving the UPES ACM and ACM-W websites.
- Worked with core committee and heads on the PRODIGY'24 fest.

## Education

### University of Petroleum and Energy Studies (UPES)

- Bachelor of Technology (B.Tech), Computer Science (Artificial Intelligence & Machine Learning)
- 2023-08 to 2027-05
- Grade: 9.16 CGPA
- Activities: Secretary (Executive), Institution of Engineering and Technology (IET) UPES Community; Core Member, Google Developer Group (GDG) on Campus UPES
- Skills: Data Structures, Algorithms, DBMS, Operating Systems, Computer Networks

Currently pursuing B.Tech in Computer Science (AI & ML).

- Led 6-chapter heads and core committees as Secretary (Executive), Institution of Engineering and Technology (IET) UPES chapter, directing **5** events.
- Delivered Git, GitHub & open-source workshops to **100+** participants as a speaker and Core member, Google Developer Group (GDG) on Campus UPES.

### Bright Moon Public School

- CBSE 12th Board, Physics, Chemistry & Mathematics (PCM)
- 2022-04 to 2023-06
- Grade: 90.80%
- Skills: Physics, Chemistry, Mathematics

Jaipur, Rajasthan.

### KPS Udaan Senior Secondary School

- CBSE 10th Board, 
- 2020-03 to 2021-03
- Grade: 96.50%
- Skills: 

## Achievements

### AIR 7275 in GATE (Data Science & AI) 2026

- Organization: GATE
- Year: 2026

Top **0.1%** out of 69,000+ candidates.

### Rank 1565 in Amazon ML Challenge 2025

- Organization: Amazon & Unstop
- Year: 2025
- Link: https://github.com/AmulyaJain2004/Amazon-ML-Challenge-2025

Ranked **1565** among roughly **9,000** teams with a multimodal model scoring **50.92 SMAPE**.

### Rank 355 in GirlScript Summer of Code Extd. 2024

- Organization: GirlScript Foundation
- Year: 2024
- Link: https://gssoc.girlscript.tech/leaderboard

Rank **355** out of **32,000+** participants with **3** Pull Requests merged, **7** badges earned and a total score of **1025**.

### Letter of Appreciation & Star Performer Recognition

- Organization: Cloud Security Alliance (CSA) UPES Student Chapter, Technical Committee
- Year: TBD

Recognized for contributions as a Technical Core Member of the Cloud Security Alliance (CSA) UPES Student Chapter.

## Certifications & Badges

One line each; credential links are verifiable on Credly.

- Postman API Fundamentals Student Expert — Postman, TBD
- Supervised Machine Learning: Regression & Classification — DeepLearning.AI, TBD
- Applied Data Science Capstone — IBM / Coursera, 2026-05 — https://www.credly.com/badges/07259fa8-b067-4281-a182-ffb55a46fc88
- IBM Data Science Professional Certificate — IBM / Coursera, 2026-05 — https://www.credly.com/badges/9bf285a1-292d-40f0-8d19-003742ca5865
- Introduction to Data Science Specialization — IBM / Coursera, 2026-02 — https://www.credly.com/badges/6c5f6d17-383a-41b8-b357-01e0fc86555d
- Analyze Speech and Language with Google APIs Skill Badge — Google Cloud, 2025-10 — https://www.credly.com/badges/026d4833-dfe7-4702-995c-396423fdf56c
- App Building with AppSheet Skill Badge — Google Cloud, 2025-10 — https://www.credly.com/badges/5882bb73-5665-4796-8ea3-fdb8baab8cea
- Build a Website on Google Cloud Skill Badge — Google Cloud, 2025-10 — https://www.credly.com/badges/16346947-f062-4e2b-be15-abdffad5fea1
- Build Serverless Applications with Cloud Run Functions — Google Cloud, 2025-10 — https://www.credly.com/badges/5c8eb0dd-d3af-4608-9b95-c39bc8cb6e8f
- Deploy and Manage Applications on Google App Engine — Google Cloud, 2025-10 — https://www.credly.com/badges/4c4323a7-6da5-4077-a0ef-a14448285c6a
- Deploy and Secure Serverless APIs with API Gateway — Google Cloud, 2025-10 — https://www.credly.com/badges/e73696b8-6fe2-40d6-8af7-63405af9efb9
- Develop GenAI Apps with Gemini and Streamlit Skill Badge — Google Cloud, 2025-10 — https://www.credly.com/badges/d031fecb-226e-4cec-86c1-8fcda3208523
- Develop with Apps Script and AppSheet Skill Badge — Google Cloud, 2025-10 — https://www.credly.com/badges/544415e6-86cf-4edb-827d-ddb6ab3acd7a
- Get Started with Dataplex Skill Badge — Google Cloud, 2025-10 — https://www.credly.com/badges/27a18d6b-4a14-4a8a-984d-70f494159d51
- Get Started with Looker Skill Badge — Google Cloud, 2025-10 — https://www.credly.com/badges/b272050b-9ff3-46d4-aaed-7d4b04670574
- Implement Cloud Collaboration and Productivity Workflows — Google Cloud, 2025-10 — https://www.credly.com/badges/23505110-4430-487d-9300-8fa1af096134
- Implement Cloud Storage and Data Protection Solutions — Google Cloud, 2025-10 — https://www.credly.com/badges/de262602-1c2d-4937-aabc-e4b4be3588c7
- Implement Event-Driven Messaging and Automation Workflows — Google Cloud, 2025-10 — https://www.credly.com/badges/d8ae347a-8d74-46d7-8a43-c2f0f4830a42
- Implement Speech and Language Solutions with Pre-trained APIs — Google Cloud, 2025-10 — https://www.credly.com/badges/353ef9a1-58f2-4bdb-b7ca-8b986b8b7c1e
- Monitoring in Google Cloud Skill Badge — Google Cloud, 2025-10 — https://www.credly.com/badges/2d4a4635-82be-4cce-a664-001af37396af
- Prompt Design in Vertex AI Skill Badge — Google Cloud, 2025-10 — https://www.credly.com/badges/454279f4-40cc-4470-bf0d-5d3aaa904093
- Set Up a Google Cloud Network Skill Badge — Google Cloud, 2025-10 — https://www.credly.com/badges/cbc76b38-4a6a-457e-be00-73a37d195c27
- Store, Process, and Manage Data on Google Cloud - Console Skill Badge — Google Cloud, 2025-10 — https://www.credly.com/badges/22c20919-876f-4dc1-b8ec-33e1c16e348d
- The Basics of Google Cloud Compute Skill Badge — Google Cloud, 2025-10 — https://www.credly.com/badges/58e082ef-703d-4d5e-a67e-ba0623540fc9
- Data Science Orientation — IBM / Coursera, 2024-12 — https://www.credly.com/badges/90b62319-f926-41c4-bf11-09128a2177db

## Blog

Titles only here to keep this page short; each links to its own full markdown page.

- Why I Started Building in Public (2026-09-10) — /agent/blog/building-in-public
- RAG vs Fine-Tuning: When to Use Which (2026-08-22) — /agent/blog/rag-vs-finetuning