Sihao Chen (Benny)

UC Berkeley EECS MEng 21'

Resume About me

Hi! 👋 I am a back-end software engineer at LinkedIn. I received a Master's Degree in Electrical Engineering and Computer Science from UC Berkeley in May 2021. Before joinging LinkedIn, I worked in Tesla and developed the acquisition management platform which processes leases, purchases, and trade-ins. I worked on the Assistive Mouse Capstone Project under Professor Brian A. Barsky. I was also a part-time full-stack software engineer at Teaming by Design Platform group led by Professor Sara Beckman. In my undergraduate years, I worked as an intern at Microsoft, where I improved the reinforcement learning model of Microsoft Bing. I am interested in machine learning, computer vision, self-driving cars, and web development.

Articles 📚

Increasing Sample Throughput for RL Environments using CUDA

Reinforcement Learning

May 21, 2021

Hand Gesture Recognition for Mouse-Free Assistive Technology

Machine Learning

Computer Vision

May 19, 2021

ROAR: Robot Open Autonomous Racing

Autonomous Driving

Computer Vision

Dec 18, 2020

Image Classification with Machine Learning

Machine Learning

Computer Vision

Dec 07, 2020

Building a Serverless Student Survey Platform

Web Development

Nov 11, 2020

Improving Microsoft Bing Using Reinforcement Learning

Reinforcement Learning

Jun 30, 2020

Efficient Exploration via Actor-Critic Ensemble

Reinforcement Learning

Dec 19, 2019

A Survey on Driving Scenario Generation

Autonomous Driving

Jun 22, 2019

Projects 💻

bcwingnut.github.io

Code for this Personal Website.

HTML 0 0

ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

0 0

ROAR

Final project of UC Berkeley CS 206A Introduction to Robotics.

Jupyter Notebook 0 0

DATA200-Final-Project

UC Berkeley DATA 200 Fall 2020 Final Project by Sihao Chen and Cem Koç.

Jupyter Notebook 0 0

MelGAN-VC

MelGAN-VC: Voice Conversion and Audio Style Transfer on arbitrarily long samples using Spectrograms

0 0

asr-disparities

Code and data for Koenecke et al. (2020)

0 0

Match-Plan-Generation-in-Web-Search

Code for The Web Conf 2021 Paper-Match Plan Generation in Web Search with Parameterized Action Reinforcement Learning.

0 1

deep-voice-conversion

Deep neural networks for voice conversion (voice style transfer) in Tensorflow

0 0

streetscape.gl-msc.lab

Visualization framework for autonomy and robotics data encoded in XVIZ, modified for promoting the INTERACTION dataset built by MSC lab @ UC Berkeley.

JavaScript 0 0