Gokul PV

At StoveKraft Ltd, I prepare and maintain technical documentation, operational records, checklists, and reports for automated production systems. I also built Python-based automation workflows that increased production throughput by 30% and reduced manual intervention by 60%.

I developed machine-vision inspection workflows that achieved 95% detection accuracy and reduced manual quality checks by 70%. I use spreadsheets and digital records to track process data, quality observations, and work status.

Previously, at Sysenso Systems, I maintained project documentation and prepared analysis outputs and technical reports for computer-vision and robotics work. I supported ROS/OpenCV systems for human-robot interaction and automated monitoring, and optimized inference pipelines for NVIDIA Jetson/Linux deployment, reducing latency from 120 ms to 38 ms per frame.