Computer Science Engineering Student | AI/ML
Computer Science engineering student with experience in machine learning research, computer vision, LLM applications, RAG systems, backend APIs, and AI evaluation.
IIT Kharagpur
May - July 2025 · India
Processed large-scale LiDAR point cloud datasets using Python-based ML pipelines; implemented and trained the RandLA-Net deep learning model for semantic segmentation of TLS point cloud data; achieved 99.6% classification accuracy in detecting tree stems; built automated pipelines for preprocessing, noise filtering, ground segmentation, and feature extraction; collaborated with researchers to validate AI-generated segmentation results and support reproducible experimentation.
B.Tech, Computer Science and Engineering
Dec. 2022 - June 2026
6.5/10
Built a real-time people detection and tracking pipeline using YOLOv8 and OpenCV; designed backend APIs for AI detection outputs and structured analytics; developed a React dashboard for occupancy, visitor count, and time-series activity insights; containerized the full stack using Docker and Docker Compose.
Engineered a modular multi-agent architecture with specialized LLM agents, a FastAPI orchestration layer, prompt pipelines, inference routing, output evaluation, and Dockerized agent services, APIs, and frontend components.
Built a retrieval-augmented generation assistant for large document collections; developed APIs for query processing, document retrieval, and LLM response generation; implemented document embeddings and vector search; evaluated responses for factual correctness, relevance, and completeness.