Master of Science

I am expecting to graduate with my Master of Science in Computer Science in December 2022. My degree specializes in Machine Learning and Robotics. I started the program in August 2020 part-time while working as a Research Engineer at Ford. During my Masters I am taking the following courses: AI for Robotics Computer Vision Machine

Research Software Engineer at Ford

Since February 2019, I have been a Reseach Engineer at Ford’s Research office in Silicon Valley with the overarching goal of finding and implementing solutions that allow for Level 3 Automation of the driving task. Currently, there is no mass-market vehicle on the roads that offers and L3 driving feature. Both Tesla’s AutoPilot and GM’s

Udacity Nanodegree

I successfully completed the Self-Driving Car Engineer Nanodegree from Udacity by submitting 9 Python-based projects: Project 1: Lane Finding Project 2: Advanced Lane Line Detection (ComputerVision) Project 3: Traffic Sign Classification (Training a ConvNet) Project 4: Behavioral Cloning (End-to-end Driving with Neural Net) Project 5: Sensor Fusion (Extended Kalman Filter) Project 6: Sparse Localization (Particle

Bachelor of Science

I am excited to have received my Bachelor of Science in Mechanical Engineering with a Minor in Computer Science. This past weekend I was awarded the Board of Trustee Award for graduating with a 4.0 GPA, the Edison Award for the best Capston Project, and was honored to carry the flag of the College of

Internship At Ford

During my Internship at Ford’s Innovation Lab in Silicon Valley, I developed a framework for scalable multi-agent simulation. This C++ based framework allowed to simulate hundreds of vehicles at the same time in order to genereate realistic traffic scenarios. While the majority of the vehicles are actors, it is possible to run multiple egovehicles with

Internship at dSPACE

During my internship at dSPACE I developed a Lane Centering and lane change decision making algorithm using dSPACE’s SIL tools. The controllers were developed in Simulink and tested with dSPACE MotionDesk, dSPACE VEOS, dSPACE ModelDesk, and dSPACE ControlDesk. The lane centering controller was based on an the Stanley Controller used by Stanford during the DARPA

Internship at TESLA

During my Internship at Tesla Motors, I developed a machine that could test the cooling performance of prototype battery packs for Model S, Model Y, and Model 3 in an automated way. The machine could push coolant through the the battery pack and measure temperature at multiple locations within the battery pack as well as

Internship At Bosch

During my internship at BOSCH, I worked on the Electric Drives team. I developed testing procedures for both seat adjustment and steering column motors. I performed those tests, and reported results to the application engineers on multiple projects. Not only did I learn about testing procedures, debugging circuits, as well as hardware test design. I