AI/ML Engineer • Software Engineer • Final Year CS Undergrad
Building intelligent systems that solve real problems — from RAG pipelines to adaptive learning tools.

📧 Email • 💼 LinkedIn • 🌐 Portfolio • 🧩 Coding Profile

I'm a B.Tech CSE student at Quantum University (Graduating 2026, CGPA: 8.3) with hands-on experience building production-grade AI applications, and full-stack web systems.

• 🧠 Passionate about Generative AI, RAG systems, and LLM applications
• 🏗️ I build things end-to-end — from embedding pipelines to deployed Projects.
• 🏆 Solved 821+ DSA problems on LeetCode | Global Rank 46,622 (Top 6%) | Rating: 1561
• 🥇 Top 7 Finalist at HackIndia Hackathon | 2nd Place at Genesis Idea Open House 2023
• 🔬 Former Project Trainee at DRDO — worked on defense-grade microservices and radar simulation systems

Languages

AI / ML

Web

Tools & Platforms

FastAPI LangChain FAISS Llama-3-70B (Groq) Cohere Embeddings Next.js

Built a production-ready multi-document RAG pipeline that lets users chat with their PDFs and get instant, cited answers.

• 📈 Improved retrieval accuracy from 68% → 84% after testing on 150 real-world queries
• ⚡ Reduced response latency from 3.1s → 1.5s via Groq inference, async FastAPI & embedding caching
• 🛡️ Implemented citation grounding + fallback responses to mitigate hallucinations
• 🔧 Pipeline: PDF → 800/150 token chunking → Cohere embeddings → FAISS → MMR retrieval → LLM synthesis

🔗 Live • 📂 GitHub • 🎬 Demo

React.js Node.js MongoDB JWT

Built an adaptive spaced-repetition system to solve inconsistent DSA revision and poor long-term retention during interview prep.

• 📊 Improved revision consistency by 40% with decay scheduling + difficulty weighting
• 🗂️ 500+ problems logged, 20+ active users with personalized revision modes (by company, topic, or randomized)
• 🔐 Secure JWT auth with refresh token rotation; deployed on Vercel with production configs
• 📅 Daily streak tracking, analytics dashboard, dynamic MongoDB schema for fast filtering

🔗 Live • 📂 GitHub • 🎬 Demo

Python Scikit-learn NLP TF-IDF Streamlit TMDB API

Built a recommendation engine that suggests similar movies based on plot, genres, and cast metadata.

• ⚡ Reduced recommendation lookup time by 60% via precomputed similarity matrix + NumPy vectorization
• ✅ Validated across 50+ real-world searches for accurate top suggestions
• 🎨 Deployed interactive Streamlit app with TMDB API-powered poster previews

🔗 Live • 📂 GitHub • 🎬 Demo

🔬 Project Trainee — DRDO (Defence Research and Development Organisation) May 2025 – July 2025 | Delhi, India

• Engineered role-based authentication and secure protocols for defense-grade applications
• Developed microservices for real-time radar simulation and high-frequency data visualization
• Optimized geospatial reporting workflows, reducing manual processing time

🌐 Web Content Intern — GAO Tek Inc. Aug 2024 – Oct 2024 | Remote

• Optimized 100+ product listings for SEO using metadata and keyword analytics

💻 Always open to collaborating on exciting **AI, ML, based projects**. Let’s innovate together!