I am a final-year Computer Science student who builds and ships production-grade ML and Generative AI systems end-to-end. My engineering experience spans from developing a real-time fraud-detection service that scores 500K+ transactions to architecting multimodal, LLM-orchestrated agent pipelines. I am highly comfortable working across the entire stack, utilizing model development tools like PyTorch and XGBoost, orchestrating workflows with LangChain and LangGraph, and deploying robust applications via FastAPI, Docker, and cloud GPUs.
- Focus: Generative AI pipelines, Multi-Agent Systems, High-Performance Backend Architecture, and Distributed ML.
- Open To: AI / ML / GenAI / Agentic AI internships to build applied systems that ship.
| Domain | Proficiency | Details |
|---|---|---|
| Generative AI & LLMs | Advanced | LangChain, LangGraph, RAG, Multi-Agent Systems, Hugging Face, MCP |
| Machine Learning | Advanced | XGBoost, Scikit-learn, Optuna, Feature Engineering |
| Computer Vision | Intermediate | PyTorch, TensorFlow, Stable Diffusion, Diffusers |
| Deployment & Vector DBs | Intermediate | ChromaDB, Pinecone, FastAPI, Ephemeral Cloud GPUs |