from anubhav_agrawal import AIEngineer
engineer = AIEngineer(
location="Delhi, India",
education="M.Tech AI/ML @ BITS Pilani (2027)",
stack={
"languages": ["python", "c++", "cuda"],
"deep_learning":["pytorch", "transformers"],
"vision": ["opencv", "albumentations", "torchvision"],
"genai": ["langgraph", "langchain", "mongodb"],
"deploy": ["tensorrt", "onnx", "docker"],
"classical": ["sklearn", "xgboost"],
"data": ["numpy", "pandas", "scipy", "matplotlib"],
},
fps_record=600,
)
engineer.deploy() # → Running at Griphic since Jan 2026| Current | AI Engineer-2 @ Griphic — building production RAG systems |
| Prev | ML Engineer & Team Lead @ Innvolution Healthcare (2.5 yrs) |
| Edge | End-to-end ML — from research to optimized production deployment |
| Domain | Computer vision, medical imaging, RAG systems, Deep learning |
@engineer{anubhav_agrawal,
title = {Production AI/ML Engineer},
note = {600+ FPS inference. End-to-end ML. Open to opportunities.},
email = {anubhavagr.mail@gmail.com}
}
