Robotics & Computer Vision Engineer
Building intelligent robotic systems that combine perception, control, and automation to solve real-world engineering problems.
ROS2 • OpenCV • Jetson Edge AI • Python • Embedded Systems
Designing autonomous and semi-autonomous robotic platforms — from manipulators to holonomic mobile robots — built to operate reliably in real environments.
Real-time detection, perception, and vision-guided control using OpenCV and deep learning. Specialized in industrial inspection and pick-and-place applications.
Deploying inference pipelines on Jetson hardware for offline, low-latency applications. Bridging the gap between AI research and industrial deployment.
Low-level control using Raspberry Pi, Jetson Nano, and microcontrollers. Writing firmware and communication protocols for real-time robotic control.
Offline industrial OCR system running on NVIDIA Jetson with ROI locking, OK/NG classification logic, and real-time defect flagging. Deployed in production at Autoliv.
View Case Study →ROS2-based camera-to-robot manipulation system using real-time object detection for spatial localization and servo-level control for precise pick-and-place execution.
View Case Study →Four-wheel holonomic drive platform with full kinematic control model, enabling omnidirectional motion and strafing. Designed and assembled from scratch.
View Case Study →Custom servo-controlled manipulator arm, fully 3D printed and assembled. Designed joint structures and motor mounts in CAD, then implemented manual and programmatic control.
View Case Study →I believe robotics engineering is about building reliable systems that integrate perception, intelligence, and mechanical design. My focus is on developing solutions that are not only functional but scalable and production-ready — systems that hold up in the real world, not just in the lab.
Robotics & Vision Intern
Deployed an offline OCR inspection system on NVIDIA Jetson for industrial quality control. Developed ROI locking, OK/NG decision logic, and integrated with existing production-line automation infrastructure. Worked directly with vision and automation hardware in a real manufacturing environment.
B.E. — Mechatronics Engineering
Open to robotics engineering roles, research collaborations, and challenging automation problems.