I'm a second-year Computer Science undergraduate focused on software engineering fundamentals, AI/ML systems, and full-stack product development. My work centers on building complete, working systems rather than isolated exercises β pairing LLM APIs with proper backend architecture (FastAPI) and shipping usable frontends around them.
I approach engineering with a product mindset: understand the problem, design a system that solves it cleanly, and ship something a real user could open and use. I'm early in that journey, and I'm building deliberately β one production-style project at a time β toward AI engineering and full-stack roles.
Open To: Software Engineering Internships Β· AI/ML Engineering roles Β· Full-Stack opportunities Β· Open-source collaboration
Languages
Frontend
Backend & Databases
Cloud, DevOps & Tooling
| Domain | Proficiency | Details |
|---|---|---|
| LLM API Integration | Practitioner | Built a full-stack AI chatbot on the Gemini API with a FastAPI backend and Streamlit frontend |
| Prompt Engineering | Practitioner | Applied in chatbot response design and early agent-oriented workflows |
| Computer Vision (MediaPipe) | Intermediate | Built a gesture-driven interactive canvas using real-time hand/face tracking |
| Agentic Systems | Learning | Actively studying multi-agent orchestration and tool-use patterns |
| Applied ML Fundamentals | Foundational | Core coursework + self-directed study, 2nd-year CS track |
π€ Pawan-AI-Chatbot β Full-Stack AI Chatbot
A conversational AI chatbot built with the Google Gemini API, a FastAPI backend, and a Streamlit frontend β a complete, deployable example of an LLM-backed web application.
| Attribute | Detail |
|---|---|
| Stack | Python Β· FastAPI Β· Streamlit Β· Gemini API |
| Scale | Personal / portfolio-scale project |
| Performance | Optimized for responsive single-user interaction in dev testing |
| Security | Standard input handling; no production auth layer yet |
| Impact | End-to-end demonstration of LLM integration across a real backend/frontend split |
| Repository | github.com/PawanChoudhary0607/Pawan-AI-Chatbot |
FastAPI handles request routing and Gemini API calls server-side, while Streamlit renders the interactive chat interface β keeping API keys off the client and the architecture cleanly separated.
π΅ Armonia β Music Streaming App
A Flutter-based music streaming app with YouTube-powered audio playback, built around a clean, maintainable architecture.
| Attribute | Detail |
|---|---|
| Stack | Dart Β· Flutter |
| Scale | Personal mobile app project |
| Performance | Smooth playback tested on standard Android devices |
| Security | Client-side only; no user auth/data storage layer |
| Impact | Demonstrates mobile app architecture and third-party media integration |
| Repository | github.com/PawanChoudhary0607/Armonia |
Structured with a clean separation of UI, state, and playback logic to keep the codebase extensible as features are added.
π¨ Ai-portfolio-generator
A Python-based tool that helps generate developer portfolio content with AI assistance.
| Attribute | Detail |
|---|---|
| Stack | Python |
| Scale | Personal tooling project |
| Repository | github.com/PawanChoudhary0607/Ai-portfolio-generator |
π¬ Netflix-Inspired-Portfolio
A personal portfolio site styled after Netflix's UI, built to practice frontend architecture and UI craft.
| Attribute | Detail |
|---|---|
| Stack | TypeScript |
| Scale | Personal portfolio project |
| Repository | github.com/PawanChoudhary0607/Netflix-Inspired-Portfolio |
No formal software engineering role yet β actively seeking internship / entry-level opportunities. Replace this block once you land one:
Job Title Β· Company Name
Month Year β Present
One or two lines on scope and impact.
- Bullet on a concrete responsibility or contribution
- Bullet on a measurable outcome
- Bullet on a technical decision you owned
Tech Tags Here
| Recognition | Details |
|---|---|
| Add your achievement | e.g. hackathon placement, coursework award, competitive programming rank |
| Add your achievement | e.g. open-source contribution merged, publication, notable project recognition |
Add real certification badges here as you earn them β don't ship placeholders to a live profile.
AWS
Oracle
NPTEL
Cisco
Requires a one-time GitHub Action (
Platane/snk) added to this repo to generate β ask me for the workflow file if you haven't set it up yet.
Learning:
- AI Agent development & orchestration
- Backend engineering with FastAPI
- Core DSA & system design fundamentals
Building:
- AI-powered tools (Gemini API, FastAPI, Streamlit)
- RedBloom β an interactive canvas using MediaPipe hand/face tracking
Exploring:
- Retrieval-augmented generation & multi-agent systems
- Production-grade backend architecture
Open To:
- Software Engineering internships
- AI/ML engineering roles
- Open-source collaboration
