- 🤖 Specializing in AI/ML while exploring FullStack Development and Cloud Engineering
- 💡 Ask me about DSA, Python, AI/ML, or Full Stack Development
- 🎵 I enjoy coding with some chill music
- 🏓 Ping me for a Table Tennis match!
- 🌙 Night owl - my best code happens after 10 PM
- ☕ Coffee addiction level: console.log("extreme")
- 🧠 Personal Philosophy: "It's not a bug – it's an undocumented feature."
- 🌐 Portfolio: Check My Portfolio!
- 🚀 Build production-ready AI applications with RAG systems
- 🔥 Master Advanced System Design patterns
- 🏆 Solve 500+ LeetCode problems
- 📚 Contribute to open-source AI/ML projects
🧬 eDNA-Analyzer - AI-First Biodiversity Analysis Platform
Smart India Hackathon 2025 | Selected Project by Ministry of Earth Sciences
Built an AI-driven eDNA analysis pipeline for deep-sea biodiversity assessment, achieving 100× faster processing compared to traditional BLAST/DADA2 methods. Delivered a full-stack web application with real-time analysis dashboard, taxonomic classification trees, and biodiversity metrics visualization.
Team: Binary Beasts (Smart India Hackathon 2025)
🔗 Website
🔍 F&B Process Anomaly Detection System
Built an anomaly detection system for Food & Beverage batch production, analyzing 1500+ batches across 11 parameters. Implemented four specialized models with consensus voting, reducing false positives by 6-15% vs. single models.
Key Achievements: F1-score of 0.87 with 92% model agreement
🔗 GitHub
🎓 NeoTutor - Adaptive AI Tutor System
Developed an adaptive, feedback-based AI tutor system using Meta's LLaMA-3.2-3B-Instruct with LangGraph multi-agent workflow for intelligent question generation, answer evaluation, and adaptive difficulty progression.
🔗 GitHub | Hugging Face | Google Colab
📋 Rubric Generator
Built a machine learning model to automatically generate detailed grading rubrics from given questions and sample answers. Fine-tuned on custom question-answer-rubric datasets for precise educational evaluation guidance.
🔗 GitHub | Hugging Face
⚖️ LexiBot - AI-Powered Legal Assistant
Built an AI-driven legal assistant specializing in Indian consumer law, traffic violations, and harassment cases. Implemented a multi-agent RAG system with query classification, intelligent semantic chunking, vector search (Qdrant), achieving 85%+ accuracy on legal queries.
Features: Real-time responses (<3s) • Privacy-focused • Session management • Production-ready deployment
🔎 Qdrant RAG Pipeline
Developed a Retrieval-Augmented Generation pipeline with Qdrant vector database for semantic search across multiple document formats (PDF, DOCX, CSV, JSON). Implemented hybrid search combining semantic embeddings and keyword matching.
🔗 GitHub
🕸️ Text-to-Neo4j Knowledge Graph Builder
Developed a pipeline to convert unstructured text into queryable Neo4j knowledge graphs, supporting multiple .txt files with intelligent chunking and type/relationship normalization.
🔗 GitHub
📄 JobFit: AI Resume Analyzer
Developed a secure AI-driven resume-job matching platform with multi-stage analysis using Gemini 2.5 and LangGraph workflows. Implemented AWS S3 presigned URLs for secure uploads with automatic 5-minute expiry.
🔗 Website
⛓️ BharatChain
WCHL Hackathon (Regional Round Qualifier, Asia)
Developed AI-powered service for India's blockchain-based digital governance platform, enabling document analysis & verification with OCR and text extraction, and grievance processing with sentiment analysis.
Achievement: Regional Round Qualification in Asia
🔗 GitHub
🆘 Disaster Response Training Tool
First Hackathon Project: Developed an interactive web-based platform to train users in disaster preparedness and emergency response with AI chatbot powered by Gemini API.
🫧 Bubble Labyrinth
Global Game Jam 2025: Developed a first-person 3D puzzle-platformer during the 48-hour Global Game Jam 2025, showcasing rapid prototyping and game development skills.
Team: Devaansh Kushwaha, Hardik Bindal, Bhuvendra Singh
🖼️ OCR Text Extractor
Developed a Python automation tool to extract text from images using Tesseract OCR, supporting batch processing with multi-language support (English & Hindi).
🔗 GitHub
📊 Data Visualization & EDA
Conducted comprehensive Exploratory Data Analysis on popular datasets (Ames Housing, Iris Flower) covering data cleaning, feature analysis, and statistical visualization.
🔗 GitHub