
Deep Reasoning AI, Inc. CS Ph.D. @ Cornell
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UTSP
April 9, 2023 – May 3, 2024
code repo for paper Unsupervised Learning for Solving the Travelling Salesman Problem
View ProjectMAgent
November 6, 2017 – October 22, 2022
A Platform for Many-Agent Reinforcement Learning
View Project1m-agents
July 1, 2017 – September 13, 2017
A platform of grid world that supports up to 1 million reinforcement-learning agents.
View ProjectMFChen_Compiler
April 7, 2017 – April 7, 2017
A compiler of MFChen a C++ and Java mixed language for the Compiler Course ACM Honored Class.
View ProjectConvTextClassification
March 11, 2017 – March 15, 2017
This repo is the replication of character-level-convolutional-networks-for-text-classfication
View ProjectDeepLearning-Final-Project
December 18, 2016 – October 11, 2017
Do a toy Tone Classification in Tensorflow, Thenao and Mxnet
View ProjectMxTestCase
March 27, 2016 – April 3, 2016
Testing cases for different phrase of Mx* Language Compiler
View ProjectACM-2015-AI-Server
November 23, 2015 – December 9, 2015
ACM-2015-AI-Server — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio demonstrates a strong inclination towards research-oriented and complex technical challenges, particularly in machine learning, compilers, and distributed systems. This suggests a fit for roles that value deep technical exploration and innovation. The diversity of technologies (Python, C++, Java, R, Assembly, JavaScript) and project types (ML, compilers, graphics) indicates adaptability and a broad technical curiosity. The focus on personal projects, including those related to academic papers, suggests a self-driven and intellectually curious individual.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise and technically focused, but do not provide insight into collaboration, problem-solving approach, or communication style.