- Research and develop AI models for detecting defective solar panels.- Work with cross functional teams to develop effective planning process for drone flight path.

• Developed machine learning models for computer vision/ object detection for IoT devices.• Researched and Implemented techniques to improve accuracy of object detection models, leading to animprovement of 30% in mAP.• Performed training and evaluation of machine learning models on GPU-based and edge gateway platforms.• Created Python scripts to automate machine learning tasks and to visualize results.• Enchanced frontend IOS apps for IoT devices using Android Studio and Flutter• Utilized Gitlab for version control and documentation.

• Designed parts and fixtures for packaging pick-and-place assembly equipment.• Presented designs to the team for discussion.• Performed analysis/calculation to justify designs.

• Developed advanced time-of-flight optical sensor for mass production.• Worked closely with internal & external customers around the globe to address challenges and to aligncourse of action.• Reviewed and analyzed data for any abnormal trend of failed parts.

• Developed optical sub-assemblies for transceivers, which were commonly used in data centers.• Multitasked to support several ongoing projects.• Trained and guided a junior engineer.

• Design sub-assemblies/module for thin-film sputtering equipment for HDD and solar wafer.• Successfully managed projects, coordinated teams and ensured designs were delivered on time.• Upgraded mechatronic system without affecting original programming code, saving development leadtime and manpower.• Created a script for drawing conversion, cutting down 90% time required and minimizing human error.