AI/ML Engineer | Building Autonomous Agents & Scalable Data Pipelines
I am a B.Tech Computer Science student at RGUKT passionate about moving artificial intelligence out of Jupyter notebooks and into production. I specialize in LLM orchestration, Natural Language Processing (NLP), and building AI agents that automate complex, real-world workflows.
- 🧠 Building and iterating on autonomous AI agents using LangGraph, LangChain, and local LLMs.
- 📊 Engineering scalable machine learning pipelines for complex datasets.
- 🎓 Pursuing my B.Tech in CSE at Rajiv Gandhi University of Knowledge Technologies (Expected 2027).
Languages:
AI & Machine Learning:
Backend & Databases:
| Project | Description | Tech Stack |
|---|---|---|
| Windows Productivity Agent | A fully offline AI desktop assistant using a hybrid agent architecture for autonomous tool execution. Features voice activation and semantic memory. | Python, LangGraph, Ollama, ChromaDB |
| Pediatric Malnutrition Prediction | Dual ML pipelines deployed via FastAPI to classify malnutrition and predict severity using a reduced NFHS dataset of 24k+ records. | Python, Scikit-learn, FastAPI |
| Rakshana AI (3rd Prize Hackathon) | Real-time phishing detection app with a deterministic NLP pipeline hosted on Hugging Face Spaces. Built in a 12-hour sprint. | Python, BERT, React Native |
| AI Lead Generation Agent | Automated n8n pipeline that processes leads and uses LLaMA 3.3 for ICP scoring to automate outreach. | n8n, LLaMA 3.3, Groq API |
| Janatha Garage | Full-stack e-waste management platform with a coin-based eco-reward redemption engine. | React, Node.js, MongoDB |