Projects
A showcase of my technical projects spanning full-stack development, machine learning, and cloud infrastructure.
Environment Initiative App
A platform enabling users to create, support, and track environmental initiatives using MERN stack and Web3 for blockchain integration. Integrated with Ethereum blockchain for real-time contribution tracking.
Key Highlights:
- Web3 integration with Ethereum blockchain
- Real-time FundsReceived event listening
- MERN stack implementation
Tech Stack:
Chat with PDF
A Jupyter Notebook demonstrating a complete, end-to-end Retrieval-Augmented Generation (RAG) pipeline for complex PDFs containing text, tables, and images. Extracts all content, generates multimodal embeddings using Amazon Titan, retrieves relevant information with FAISS, and generates answers using Google Gemini Pro.
Key Highlights:
- Comprehensive PDF parsing: text, tables, images
- Multimodal embeddings with Amazon Titan
- High-speed vector search using FAISS
- State-of-the-art answer generation with Google Gemini
- End-to-end executable pipeline in a single notebook
Tech Stack:
Music Genre Classification ML
Machine learning model to classify music tracks into genres (rock, pop, jazz, classical) using feature extraction techniques and achieving 95% accuracy through hyperparameter tuning.
Key Highlights:
- 95% accuracy achieved
- Feature extraction for audio analysis
- Research paper under review
Tech Stack:
MySQL Master-Master Replication
Configured and deployed MySQL 5.7 Master-Master Replication using Docker containers for high availability and bi-directional data sync on AWS EC2.
Key Highlights:
- High availability setup
- Bi-directional data synchronization
- Replication-safe configurations
Tech Stack:
Hackathons & Achievements
Hack Bake Off Datathon 2024
NatWest Gurugram Office
Ranked among top 5 teams (70+ participants) demonstrating expertise in LLMs, data analytics, and problem-solving.
NSUT ALPHATHON
WORLDQUANT
Secured top 15 position in predictive modeling competition using historical market data. Won cash prize.