Designed and developed a program for planning and creating trajectories for 6-DOF and 7-DOF robots utilizing Task Space Regions (TSR) endpoints.

Developed a computer vision-based tool mapping using an RGBD camera and fiducial markers, effectively localizing real-world environments to software environments, reducing time and potential mismatches between the real world and software collision body, and integrating it with a GUI.

Developed a self-calibration method to calibrate the camera extrinsic to account for mechanical tolerances to accommodate plug-and-play features.

This tool helps reduce the time by 3200% and increases repeatability and precision.

Created Python drivers based on CIP and Modbus TCP protocol to integrate hardware devices into robotic assembly.

Developed GUI tools using PyQt5 for commissioning and testing assemblies, improving the manufacturing process and skill requirements.

Mentored contractors on commissioning procedures and provided support in troubleshooting software issues that arose during the process.

Organized sprint meetings and managed the Git Pull Request (PR) review process for the software development team, ensuring code quality, consistency, and timely merging.

Led the Robotic Pick Cell commissioning team, streamlining and automating major tasks, resulting in a 40% reduction in commissioning time.

Completed system commissioning ahead of the target date through efficient teamwork, demonstrating the ability to deliver tangible results.

Created an mutli-threaded algorithm in Python and C++ to visualize LiDAR data directly from LiDAR.

Created a GUI using PyQT5 where the user can create zones and polylines for a back-end deep learning process.

Designed a project workflow for the application using Confluence, Jira and Git.

Designed and fabricated an Amphibious Pipe Inspection rover for the Salt River Project(SRP) for inspection of pipe blockages and wall damages inside pipelines not accessible by inspectors.

Led the Amphibious Pipe Inspection Rover team consisting of 3 members during the integration of the motor driver, thruster, sonar, and infrared camera phase and resulted in the completion of Phase 1.

Guided and assisted the team with IMU integration with the rover.

As a member of the team, I assisted in the design and 3D printing of a modular neutrally buoyant rover chassis using Autodesk Inventor. A 5 DOF robotic arm also designed to accommodate a camera and sonar sensor.

Created an inverse kinematics algorithm in MATLAB to map trajectories and test the robotic arm utilization workspace for maximum reachability.

The final prototype was assembled and tested in front of the clients, showcasing the rover movement inside and above water.