B.S. Electrical Engineering | AUG 2022 - MAY 2026

with Concentration in Machine Learning

GPA - 3.70 / 4.00

• Proficiently trained, optimized, and integrated various deep learning models, including YOLO architectures (v4, v12) for object detection and Point Pillars for 3D point cloud object detection.

• Experienced in training and integrating semantic segmentation models, utilizing architectures such as ResNet50, DeepLabV3, and FPN.

• Hands-on experience working with camera hardware including Sony ILX-LR1, e-con, ZED2 stereo vision systems. This invloves configuring camera drivers and calibrating intrinsic/extrinsic parameters.

• I developed ROS nodes in C++ to interface with these cameras, handling tasks such as image acquisition, synchronization, and publishing sensor data via RTMAPS pipeline. 

• Gained hands-on experience with NVIDIA Jetson Orin platforms (JetPack SDK, TensorRT, CUDA) and automating model launches on autonomous vehicles.