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Computer Vision & Edge AI engineer specializing in real-time object detection and embedded deployment. Built end-to-end vision pipelines using YOLO, OpenCV, PyTorch; achieved 89% mAP on custom datasets. Deployed optimized models on Raspberry Pi and FPGA (ZCU104). Strong in robotics perception, ROS2, and real-time video analytics for industrial and autonomous systems.

Computer Vision Intern at DocketRun (2026 – Present)

• Developed real-time CV pipelines for industrial automation; built YOLO-based ANPR, harness detection, and visual monitoring systems.
• Designed end-to-end pipeline: video capture → preprocessing → inference → post-processing for live streams.

Avionics Engineer at AeroKLE Aero-Design Team (2024 – 2025)

• Developed autonomous drone systems using ROS2, Gazebo, MAVLink for surveillance and disaster response.
• Implemented vision-assisted navigation and waypoint planning; achieved AIR 3 (AeroTHON 2024) and AIR 2 (ADDC 2024).

B.E. in Electronics and Communication Engineering – KLE Technological University (2022 – 2026)

PUC – RB Patil Mahesh PUC Collage (2020 – 2022)