Headline

Gen AI Engineer | IIT KGP’26 | Computer Vision and RAG Workflows

About

Computer vision and AI/ML engineer with hands-on experience building real-time detection systems and full-stack RAG applications. Proficient in Python, PyTorch, LangChain, and deployment tools like TensorRT, ONNX, FastAPI, and Docker from edge inference on Jetson to retrieval-augmented systems with citation-backed, confidence-scored outputs.

Location

Banda

AI stack

claude

elevenlabs

hugging face

langchain

langgraph

openclaw

Work experience

Research Intern at Indian Institute of Technology, Kharagpur, May 2025 - Jul 2025 · 3 mos, India, Enhanced object detection by replacing the YOLOv5n backbone with MobileNetV3-Small, adding a BiFPN neck, and optimizing the detection head for efficient feature extraction and image recognition. • Dataset: Oxford-IIIT Pet Dataset containing 7,349 images of 37 pet breeds with corresponding segmentation masks. • Results: improved accuracy (mAP) by 4.8%, reduced inference time by 5 milliseconds • Tools: PyTorch, ONNX Runtime, TensorRT

Education

Master of Technology - MTech, Vision and intelligent systems, Indian Institute of Technology, Kharagpur

Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering, Vellore Institute of Technology