Experience

Indian Institute of Technology (BHU), Varanasi

• •Researching deep learning-based landslide detection using remote sensing and geospatial data.
• •Implemented YOLO architectures for object detection and U-Net for precise image segmentation.
• •Optimized high-resolution imagery storage and preprocessing using PCA-based compression.

FieldIntelAI, SavGen

• •Developed AI-powered SaaS applications using agentic workflows for NGOs and educational institutions.
• •Built scalable backends using Streamlit, Flask, and Django with PostgreSQL for state management.
• •Engineered multi-step AI workflows using LangChain, MCP, and LangSmith for reliable deployment.

MTS Autonomous Underwater Vehicle Club, ZHCET

• •Leading CV development for AUVs, focusing on object detection in low-visibility / low-feature environments.
• •Developing a pose estimation pipeline utilizing SuperPoint, SuperGlue, and SLAM.
• •Deployed YOLOv8 on Jetson Xavier NX and Raspberry Pi for real-time gate detection and tracking.