CS PhD from UC Berkeley, advised by Prof. Ion Stoica
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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Frontend Developer
June 25, 2026 – Present
nanotron-guanhua
December 20, 2024 – January 22, 2025
nanotron-guanhua — GitHub repository
View ProjectMegatron-LM-E1
September 24, 2023 – September 24, 2023
Megatron-LM-E1 — GitHub repository
View ProjectDistributed-Machine-Learning-with-Python
September 8, 2021 – Present
Distributed Machine Learning with Python, published by Packt
View Projectairflow
July 23, 2019 – August 5, 2019
a simple practice of using airflow for ML workflow
View ProjectsensAI
March 5, 2019 – July 25, 2024
sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data
View ProjectSystemPaper
December 9, 2016 – June 10, 2020
This is a paper review repo. of top-tier Computer System Conferences
View ProjectBenefault
November 28, 2016 – March 28, 2018
A way for task preemption in Big data analytics platform
View ProjectClusterSchedulerSimulator
October 21, 2016 – December 21, 2016
Cluster-Scheduler-Simulator
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on backend, machine learning, and system-level programming (Python, C++, CUDA, Scala, Shell). While these demonstrate strong technical capabilities, they show limited direct alignment with a 'Frontend Developer' target role. The diversity of projects indicates a broad technical interest, but the specific technologies used (e.g., XSLT, CSS, HTML in 'Megatron-LM-E1' are minimal compared to backend/ML) do not strongly support a frontend-centric cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. Psychometric test scores are 0, providing no insight.