Hsin-Ping Chou
Software EngineerI like facts I don't like assuming
Synopsys
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I like facts I don't like assuming
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Synopsys
Software Engineer
June 25, 2026 – Present
Super-Loss
December 29, 2020 – January 26, 2021
PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.
View ProjectTruncated-Loss
November 11, 2019 – November 12, 2019
PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018
View ProjectAdversarial-Training-for-Free
May 2, 2019 – May 8, 2019
Unofficial implementation of the paper 'Adversarial Training for Free'
View ProjectDeep-Co-Training-for-Semi-Supervised-Image-Recognition
January 29, 2019 – August 25, 2019
Unofficial implementation of the paper 'Deep Co-Training for Semi-Supervised Image Recognition'
View ProjectCultural Fit Analysis
The candidate's personal projects are heavily focused on machine learning research, specifically implementing academic papers. This indicates a strong interest in deep learning and algorithm development. The current role as a Software Engineer at Synopsys suggests professional experience, but the specific responsibilities are not detailed. The alignment with a general 'Software Engineer' target role is moderate; the candidate's demonstrated passion leans towards a specialized ML/AI engineering role. The breadth of skills is limited to Python based on project technologies.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.