I'm a Computer Science (AI/ML) student passionate about building LLM-based systems, RAG pipelines, and agentic workflows. I specialize in the intersection of AI research and production engineering — designing autonomous, goal-driven systems that orchestrate LLMs for real-world tasks.
- 🔭 I’m currently building autonomous agentic systems and multi-agent orchestration pipelines.
- 💼 Recently interned as an Agentic AI Intern at MentorChamp Technologies, where I built a production AI Sales Assistant using LangGraph, LangChain, RAG, and Claude APIs.
- 🌱 I’m currently exploring advanced Retrieval-Augmented Generation (RAG), Vector Databases, and WebRTC for real-time Voice AI.
- 🎓 Maintaining a 8.2 GPA at A.P. Shah Institute of Technology.
- ⚡ Fun fact: I build the entire AI product — from the vector database backend to the pixel-perfect React frontend.
- Civic Mind: Agentic civic-tech platform for NLP categorization, severity detection, and automated department routing of municipal complaints. (Python, ML, CNN, NLP, MongoDB, Next.js)
- ExplainableX: RAG-based data intelligence system converting natural language queries to SQL and structured AI reasoning. (Python, Node.js, OpenAI, PostgreSQL)
- Chatter Box: Multi-model conversational AI combining Gemini LLM, RoBERTa QA, and SentenceTransformer.
- SkinAid: CNN-based skin disease detection with chatbot integration. (TensorFlow, FastAPI)
- Supervised Machine Learning – Stanford / DeepLearning.AI
- Python for Data Science – NPTEL Elite (IIT Madras)
- AWS Cloud Foundations – AWS Academy
- Computer Systems Security – MIT via Cursa
- Generative AI for Beginners – Simplilearn



