Final-year Integrated B.Tech + M.Tech student in Computer Science Engineering (AI & Robotics) at Gautam Buddha University (CGPA: 8.4 / 10). I build AI-powered systems that reason, remember, and act — solving real-world problems through automation and data-driven decision making.
- 🤖 Building Agentic AI systems and intelligent assistants
- 🧠 Focused on LLMs, RAG, Multi-Agent Systems, and AI automation
- 📊 Skilled in Machine Learning, Computer Vision, NLP, and Data Analysis
- 📝 Co-author of an accepted book chapter (Bentham Science Publishers, 2026)
- 💼 Open to AI/ML Engineer and Python Developer roles
Languages
AI / Machine Learning
Frameworks & Tools
Cloud & MLOps
Areas of Focus
| Project | Description | Links |
|---|---|---|
| 🤖 Agentic AI Assistant | Advanced AI platform with multi-agent reasoning, long-term memory, RAG, document intelligence, vision analysis, voice AI, and workflow automation. | Repo · Live Demo |
| 🏆 Redrob Candidate Ranking System | AI-powered candidate discovery and ranking platform for large-scale evaluation and recommendation. | Repo |
| 📊 Redrob Candidate Rankings | Machine learning and data-analysis project for ranking large candidate datasets. | Repo |
| 💬 SentimentSense | ML-based sentiment analyzer classifying product reviews (88% accuracy), deployed as a Flask web app. | Repo |
| 📸 TARA | Real-time AI attendance system with 95%+ face-recognition accuracy using OpenCV. | Repo |
📖 Publication — Book Chapter (Accepted, 2026) "Community Detection Algorithms: From Traditional to Modern Approaches" — Bentham Science Publishers. Co-authored with Dr. Maneet Singh. A survey of traditional, probabilistic, and deep learning-based (GNN) community detection techniques.
💼 Team Leader — Blusys Info Pvt. Ltd. (2023–2024) Led a 4–5 member team across the project lifecycle, managed task allocation, and improved overall team productivity.
