Vincent Wang Email & Phone Number

Santa Clara, California, United States

Team Localization for Autonomous Vehicles-Improved ground truth labeling for longitudinal localization-Contributed towards new kpi evaluations for localization-Improve lateral localization algorithm

New York, New York, United States

Team Electronic Trade Engineering-Developed an end to end pipeline to automate swap compressions in Python-Modified compression website to display alerts and compression status in Python, React and Javascript

Santa Clara, California, United States

Localization and mapping for autonomous vehicles-Developed a lane detection algorithm and corresponding visualizations in C++ and OpenGLwith an algorithm that aggregates lane points across video frames-Implemented a system test for the localization module in Python to ensure exact matches for outputsbetween runs on vehicles versus on desktops, and another test for comparing outputs to a ground truth.

Berkeley, California, United States

Under Jitendra Malik and Karttikeya Mangalam-Project: Dataset generation for long-term video understanding-Uses GPT4 to generate multiple-choice questions for video clips from Ego4D dataset

Lead weekly sessions for students in NexStream machine learning and Python courses.

New York, New York, United States

-Team Corporate Engineering-Created a data pipeline to merge partner company records for a single source of truth to enhance data quality and reduce latency using Java, Apache Beam, and Google Spanner-Implemented and tested a rule-based system, which generalizes rule application to all company record fields-Designed a framework to add new survivorship rules, which determine the final record fields

Berkeley, California, United States

-Devised alternative new input control schemes for people with disabilities; created an app using Python and TensorFlow to control laptop cursor via eye tracking, lip reading, and speech recognition-Evaluated papers to compare various models and learn more concepts for lip reading-Worked on integrating lip reading machine learning models for assistive technology into the app

Berkeley, California, United States

Facilitated lab checkoffs for 3 lab sessions per week and helped 200+ students as lab assistant

Berkeley, California, United States

Helped and provided guidance to 30+ students in CS61A during in-person labs (Python)

San Diego, California, United States

-Used Python and Pytorch to visualize hair strand data in Blender and train HairNet CNN model, which generates a full 3D hair model from an unconstrained 2D image as input-Using OpenGL, GLSL, and C++ to simulate realistic hair movement based on mass-spring system

-Used React, Redux, CSS, and Bootstrap to create features such as the website dashboard, class settings, and discussion threads-Refactored endpoints using Node.js to modify MongoDB schemas in database

Berkeley, California, United States

Project Name: CalXPort-CalXPort is a chrome extension that exports Berkeley course schedules into a Google Calendar -Used JavaScript to do HTML parsing for web scraping data from the Berkeley enrollment shopping cart -Developed extension interface using HTML and CSS

-Participated in Google's CSSI Coursera Program-Learned computer algorithms with mentors from Google using Java, Python, and C++-Completed the following courses: Algorithmic Toolbox and Algorithms on Graphs

-Taught programming subgroup Java, C++, Python, basic robotics programming, vision tracking, and control theory-Implemented quintic splines to enhance the performance of robot autonomous movements-Used C++ for robot vision to track game field objects

-Led a subgroup in developing the Scouting App using Android Studio, Java, and Python. This app compiled data during competition and ranked competition teams.-In charge of representing the robotics team as "alliance captain" during competitions to select other teams as allies.

Fresno, California, United States

Project: Integrating Technology into Patient Education-Developed two educational websites using Google Sites, HTML, CSS, and Bootstrap: one for endocrine patient education and one specifically for diabetes patient education.-Conducted 80+ surveys for determining preferred methods of learning from endocrine patients-Presented project at the 2020 Western Medical Research Conference at Carmel, California.

Bachelor Of Science - Bs, Computer Science

Activities and Societies: Eta Kappa Nu (EECS honors society), EECS Course Staff, BAIR research, URAP research, Intramural basketball, IEEE

High School Enrichment Program

Education record

Activities and Societies: FIRST Robotics Team 1671 (Director of Programming), Math Team (President), Science Olympiad, Science Bowl.