π Technical Portfolio
Innovative projects showcasing full-stack development, cloud architecture, and AI/ML expertise
π Scalable URL Shortener
A production-ready URL shortener application implementing classic system design patterns. Built with FastAPI and deployed on Kubernetes with MongoDB and Redis for optimal performance and scalability.
FastAPI
MongoDB
Redis
Kubernetes
Docker
GitHub Actions
Key Skills Demonstrated:
System Design β’ API Development β’ Containerization β’ CI/CD β’ Caching Strategies β’ Microservices Architecture
π vDocs - Collaborative Editor
A full-stack collaborative document management platform with real-time editing capabilities. Features Google authentication, cross-platform mobile support, and seamless real-time collaboration.
Node.js
Flutter
Socket.io
Google Cloud
MongoDB
Riverpod
Key Skills Demonstrated:
Real-time Systems β’ Mobile Development β’ Authentication β’ State Management β’ Cloud Integration
π Align β Smart Reminders
React Native + Expo app for natural-language reminders and lightweight daily goals. Parses phrases like βCall mom tomorrow at 2pmβ, schedules local notifications, and stores data on-device with SQLite.
React Native
Expo
TypeScript
NativeWind
SQLite
LangChain
Key Skills Demonstrated:
Mobile Dev β’ Push Notifications β’ AI-assisted Parsing β’ Local Persistence β’ Testing with Jest
π€ Personal Blog Chatbot
An intelligent RAG-powered chatbot that answers questions based on my personal blog content. Features advanced retrieval techniques and provides source attribution for transparency and verification.
Python
LangChain
Google Gemini
RAG
Streamlit
Vector DB
Key Skills Demonstrated:
Advanced RAG β’ Data Processing β’ NLP β’ API Integration β’ Web Scraping β’ Deployment
π Kubernetes Documentation Bot
A kubernetes documentation assistant implementing HyDE and Query Decomposition RAG techniques. Submitted to Google Gemini API Developer Competition 2024 for its innovative approach to technical documentation retrieval.
Python
LangChain
Google Gemini
RAG
Docker
Streamlit
Key Skills Demonstrated:
Advanced RAG Techniques β’ Markdown Processing β’ Microservices β’ API Design β’ Containerization
π§ GenAI Cookbook
A comprehensive repository of GenAI implementations featuring various RAG techniques, AI agents, and reusable code snippets. Serves as a practical guide for building production-ready GenAI applications.
Python
LangChain
RAG
AI Agents
Hugging Face
Vector DBs
Key Skills Demonstrated:
AI/ML Engineering β’ Data Pipeline Design β’ Vector Database Configuration β’ Agent Orchestration
πΌ Looking for Collaboration?
I'm always interested in discussing new opportunities, technical challenges, and innovative projects.