Machine Learning/Computer Vision Software Engineer

• May 2023 - Present

Machine Learning/Computer Vision Engineer - Intern

• Jan 2023 - May 2023

Graduate Student

• Aug 2021 - May 2023

Relevant Coursework: Applied Machine Learning Deep Learning with Computer Graphics Fundamentals of Machine Learning Image Processing and Computer Vision Pattern Recognition and Intelligent Systems Machine Learning in Time Series Digital Signal Processing Relevant Coursework: Applied Machine Learning Deep Learning with Computer Graphics Fundamentals of Machine Learning Image Processing and Computer Vision Pattern Recognition and Intelligent Systems Machine Learning in Time Series Digital Signal Processing

Software Engineer

• Jul 2018 - Aug 2021

Advanced Driver Assistance Systems – ADAS Project (Perception & Computer Vision Team) ◦ Developed Computer Vision algorithms – Object Detection in Camera images and LiDAR point cloud data, Lane Detection (for level 3 and level 4 ADAS features). ◦ Applied Deep Learning Algorithms using Tensorflow to implement CNNs (derived from Pelee SSD and Spatial CNN). ◦ Performed sensor fusion on LiDAR, Camera and RADAR data using Unscented Kalman Filter and carried out unit tests for the Sensor fusion module to increase robustness and ensure the module is of deployable quality. ◦ Ported the C++ Eigen Library to C and unit tested the same to meet MISRA Automotive safety guidelines. Autonomous Valet Parking System (AVP) ◦ Performed Proof of Concept for AVP – Deep Learning algorithms for Last Mile Autonomous Parking Perception Module. ◦ Benchmarked several Deep Learning algorithms to determine optimality for enclosed multi-level parking areas. ◦ Designed the Software Requirements document for the AVP project. AI Research Team ◦ Developed deep learning algorithms for Object detection in camera images and evaluated data pipelines for Autonomous Driving (Research and documentation). ◦ Contributed to open-source community development of the PyTorch Sparse (torch.sparse) package, adding algorithms to perform Linear Algebra operations specific to Sparse Tensors. ◦ Devised a robust de-noising system for audio data using Kernel Adaptive Filters for a speech recognition application. Show less