Building intelligent systems that turn ideas into real-world solutions. ⚡
🎓 B.Tech in Computer Science & Information Technology
🤖 Building solutions around AI, Machine Learning, Generative AI, LLMs, RAG and NLP
🚀 Experienced in developing AI applications, semantic search systems and LLM-powered workflows using Python, FastAPI, LangChain, PostgreSQL and vector databases.
🔬 Published Machine Learning researcher with a strong interest in emerging AI technologies.
🌌 Currently focused on Agentic AI, Multi-Agent Systems, Advanced RAG, LLM Engineering and AI Automation.
🤖 AI Applications • 🧠 Machine Learning • 💬 LLM Solutions • 🔗 RAG Systems • 🔎 Semantic Search
🗄️ Vector Databases • ⚙️ AI Automation • 🔥 Agentic AI • 🌐 Backend APIs
Transfer Learning: Concepts, Applications, Challenges and Future Directions
Published in the Journal of Indian Institute for Engineering, Management and Science.
Research Areas: Machine Learning · Transfer Learning · Artificial Intelligence
| 🤖 | 🧩 | 🔎 | 🧠 | ⚙️ |
|---|---|---|---|---|
| Agentic AI | Multi-Agent Systems | Advanced RAG | LLM Engineering | AI Automation |
| Reasoning & Planning | Agent Orchestration | Retrieval & Grounding | Reliable LLM Apps | AI-Powered Workflows |
Retrieval → Reasoning → Tool Use → Automation
| 🚀 | Goal |
|---|---|
| 🤖 | Build production-ready Agentic AI systems |
| 🧠 | Deepen LLM & RAG engineering |
| ⚙️ | Build scalable AI APIs |
| 🔗 | Explore Multi-Agent architectures |
| 🌍 | Contribute to open-source AI |
| 🔬 | Publish more AI/ML research |
Building intelligent systems. Learning continuously. Creating with AI.