Project Portfolio Theater
A comprehensive showcase of practical implementations, featuring projects that demonstrate progression from academic assignments to independent innovations. Each project tells a story of problem-solving, technical growth, and creative implementation.
DocsAI
Problem Statement:
Processing and extracting insights from thousands of complex documents manually is inefficient and prone to error.
Solution Approach:
Architected a scalable backend with multi-format support, leveraging LLMs for semantic search and automated summarization.
Key Learnings:
Mastered RAG (Retrieval-Augmented Generation) patterns, optimized database queries for large-scale document sets, and refined API performance.
Stock Broker App
Problem Statement:
Accessing real-time stock data and managing a portfolio can often be clunky and unintuitive for everyday users.
Solution Approach:
I'm building a streamlined trading platform that simplifies complex market data into clear, actionable insights.
Key Learnings:
Learning the intricacies of financial APIs and how to architect a system that requires both high security and real-time performance.
Personal Portfolio Website
Problem Statement:
I needed a dedicated space to showcase my academic journey, projects, and technical skills in a way that truly represents my personality and professional growth.
Solution Approach:
Built this responsive single-page application from scratch using HTML5 and Tailwind CSS, focusing on clean code, semantic structure, and a polished user experience.
Key Learnings:
Learned valuable lessons in accessible design, dark mode implementation, and creating smooth, engaging animations that enhance rather than distract.
Real-Time Chat App
Problem Statement:
I wanted to understand how apps like WhatsApp handle instant communication without page reloads.
Solution Approach:
Created a full-stack chat application where users can message each other instantly, with a focus on reliability and speed.
Key Learnings:
Discovered the power of WebSockets for two-way communication and how to manage state across different users in real-time.
AI Sales Call Assistant
Problem Statement:
Sales professionals often struggle to handle objections on the fly while maintaining a natural conversation.
Solution Approach:
Developed an intelligent voice assistant that listens to the conversation and provides real-time, context-aware suggestions.
Key Learnings:
Deepened my understanding of how to integrate Large Language Models with voice technologies to create truly interactive experiences.
Secure File Sharing System
Problem Statement:
Transferring files securely between multiple users without reliable internet can be a major challenge.
Solution Approach:
Engineered a robust multi-threaded server in C that handles concurrent file uploads and downloads safely.
Key Learnings:
Got my hands dirty with low-level system programming, understanding exactly how computers talk to each other over a network.
Spotify Clone
Problem Statement:
I wanted to challenge my frontend skills by recreating one of the most complex and polished user interfaces out there.
Solution Approach:
Painstakingly rebuilt the Spotify web player, focusing on pixel-perfect layout and responsive behavior across all devices.
Key Learnings:
Realized that great UI is all about the details—mastering CSS Grid and Flexbox was essential to getting it just right.
College Cricket Auction App
Problem Statement:
Managing a fast-paced college cricket auction manually can be chaotic and difficult to synchronize for everyone involved.
Solution Approach:
Developed a real-time web application using the MERN stack and Socket.io to keep all participants instantly updated on live bids.
Key Learnings:
Mastered managing real-time states globally using WebSockets while keeping the interface snappy and intuitive.
Interested in Collaboration?
These projects represent my journey from academic learning to practical implementation. I'm always excited to discuss technical challenges, share knowledge, and explore new opportunities.