Computer Scientist
San Francisco Bay Area
Undergraduate Research Assistant @ UC Berkeley Visual Computing Lab Collaborated with a PhD student in developing a system using C++ and CUDA for high-fidelity, real-time 3D content capture and replication into virtual reality spaces using the HTC Vive. From August 2016 to February 2017 (7 months) Berkeley, CAGraduate Teaching Assistant @ Princeton University As a graduate preceptor...
Undergraduate Research Assistant @ UC Berkeley Visual Computing Lab Collaborated with a PhD student in developing a system using C++ and CUDA for high-fidelity, real-time 3D content capture and replication into virtual reality spaces using the HTC Vive. From August 2016 to February 2017 (7 months) Berkeley, CAGraduate Teaching Assistant @ Princeton University As a graduate preceptor (teaching assistant) in the Computer Science (COS) department, my duties involved teaching precepts (small class meetings), grading, holding office hours, developing course material, and monitoring the course Piazza and email.- COS 217: Programming Systems (Fall 2017, Spring 2018, Fall 2018)- COS 426: Computer Graphics (Spring 2019) From September 2017 to June 2019 (1 year 10 months) Princeton, NJGraduate Student Researcher @ Princeton University Researched and developed a system employing neural networks in Keras and optimization in MATLAB to accurately predict saliency in 360-degree videos, and then use these saliency maps to inform the creation of a normal field-of-view video that “moves” through the original video, showcasing only the most interesting parts. From June 2018 to December 2018 (7 months) Princeton, NJUndergraduate Student Instructor (uGSI) @ UC Berkeley As an undergraduate student instructor (teaching assistant) in the EECS department, I taught lab and discussion sections, held office hours, and answered Piazza questions. I also helped organize and develop course material and resources for staff and students.- CS 61A: Structure and Interpretation of Computer Programs (Spring 2015, Fall 2015)- CS 61B: Data Structures and Algorithms (Spring 2016)- CS 184: Computer Graphics and Imaging (Spring 2017) From January 2015 to May 2017 (2 years 5 months) Berkeley, CAUndergraduate Research Assistant @ UC Berkeley Conducted research in human-computer interaction (HCI) within Bjorn Hartmann’s research group.Investigated the health, diversity, and robustness of the programming ecosystem based on analysis of publicly available software documentation and how developers interact with and learn from it. From November 2015 to August 2016 (10 months) Berkeley, CAUndergraduate Reader @ UC Berkeley Graded assignments, assisted primary teaching staff in miscellaneous tasks, helped run office hours and homework parties.- EE 20: Introduction to Signals and Systems (Spring 2014)- CS 61A: Structure and Interpretation of Computer Programs (Fall 2014) From January 2014 to December 2014 (1 year) Berkeley, CASoftware Engineering Intern @ Riot Games Designed and implemented a globally deployed Java microservice that runs on a containerized private cloud infrastructure that serves over 67 millions of players worldwide monthly. The microservice exposes an API that makes it easy for Riot to run secure and reliable promotions and reward players in real time with minimal player frustration.The service is designed to also minimize support requests and give Riot better business insight into player redemption and participation in order to better support Riot's millions of active players with compelling events. From May 2016 to August 2016 (4 months) Greater Los Angeles AreaEngineering Practicum Intern @ Google Designed and implemented a system written in Golang that leverages 8 different Google Cloud Platform APIs to enable various push-to-deploy scenarios for Google App Engine users. This project supports and provides proof of concept for continuous delivery in Google Cloud Platform products.Wrote a total of over 10 integration and end-to-end tests and fully documented the design and implementation details of the project.Created a simplified open source version for release on Google’s GitHub to be used as an example of a push-to-deploy system using various Google Cloud Platform APIs, including the newly launched Admin API. From May 2015 to August 2015 (4 months) Greater Seattle AreaEngineering Practicum Intern @ Google Developed a web dashboard that queries large data sets consisting of Feedback reports from users about all of Google’s products and visually displays the data through interactive graphs and tables, which helps engineers to quickly understand trends and resolve issues.Wrote thorough documentation to aid future development on top of the foundation built by the project. From May 2014 to August 2014 (4 months) Mountain View, CAComputer Scientist @ Adobe Working on prototyping and rendering for the Adobe XD team. San Francisco, CA
UC Berkeley Visual Computing Lab
Undergraduate Research Assistant
August 2016 to February 2017
Berkeley, CA
Princeton University
Graduate Teaching Assistant
September 2017 to June 2019
Princeton, NJ
Princeton University
Graduate Student Researcher
June 2018 to December 2018
Princeton, NJ
UC Berkeley
Undergraduate Student Instructor (uGSI)
January 2015 to May 2017
Berkeley, CA
UC Berkeley
Undergraduate Research Assistant
November 2015 to August 2016
Berkeley, CA
UC Berkeley
Undergraduate Reader
January 2014 to December 2014
Berkeley, CA
Riot Games
Software Engineering Intern
May 2016 to August 2016
Greater Los Angeles Area
Engineering Practicum Intern
May 2015 to August 2015
Greater Seattle Area
Engineering Practicum Intern
May 2014 to August 2014
Mountain View, CA
Adobe
Computer Scientist
San Francisco, CA
Princeton University
Master of Engineering - MEng, Computer Science, 3.833
2017 to 2019
University of California, Berkeley
Bachelor’s Degree, Electrical Engineering and Computer Science, 3.807
2013 to 2017
Troy High School
High School Diploma, Weighted: 4.84/5.00, Rank: Top 1%
2009 to 2013
Collaborated with a PhD student in developing a system using C++ and CUDA for high-fidelity, real-time 3D content capture and replication into virtual reality spaces using the HTC Vive. Collaborated with a PhD student in developing a system using C++ and CUDA for high-fidelity, real-time 3D content capture and replication into virtual reality spaces using the HTC Vive.
What company does Austin Le work for?
Austin Le works for UC Berkeley Visual Computing Lab
What is Austin Le's role at UC Berkeley Visual Computing Lab?
Austin Le is Undergraduate Research Assistant
What industry does Austin Le work in?
Austin Le works in the Computer Software industry.
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