Experience

Implemented a risk analyzer in C++ which calculates closing velocities of autonomous vehicles and outputs the likelihood of collision along with the time to collision

Designed and implemented a controller using Linear Quadratic Regulator (LQR-QP) and Model Predictive Control (MPC) for trajectory tracking and adaptive cruise control.

​Prototyped an agricultural robot for autonomous pesticide spraying, utilizing LiDAR and camera sensors for SLAM to enhance mapping accuracy and performance.

Designed and integrated a facial key-point recognition model in TensorFlow for a medical screening kiosk, enabling
the camera to autonomously recognize a person and adjust its position for accurate face alignment, facilitating
subsequent screening procedures.

Achieved a 75% precision improvement by automating the Service Level Agreement vs. actual shipment delivery  analysis. 

Reduced Early Landing with a precision improvement of 15%. Using python and SQL identified the lanes through which shipments were reaching faster than anticipated, and reduced the promised delivery days for such lanes.

Developed a VGG-based deep learning model to convert hand-drawn architectural maps into digital formats, automating floor plan reconstruction and significantly reducing manual planning time