Summit Suen
Solutions Architect at Linker Vision
New Taipei, Taiwan
Summary
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Rockstar🎓
Top SchoolSummit Suen is a solutions architect and seasoned data scientist with 11 years of experience designing data platforms, ML pipelines, and analytics products across media, ad tech, and e-commerce. He has led end-to-end data architecture and growth-metric experiments for Kadokawa’s UGC platform and helped launch self-serve advertising and lookalike systems at Dcard. Comfortable bridging research and production, Summit built scalable ML workflows on Kubernetes and Airflow and drove up to 10x performance improvements in data pipelines. He combines a strong mathematical foundation (MSc in Mathematical Modeling, BSc in Mathematics) with hands-on engineering and team leadership from roles as Director of Engineering and Solutions Architect. Based in New Taipei, he brings a pragmatic focus on operationalizing models and turning complex analytics into actionable product features. An early-career researcher in fMRI and mathematical modeling, he retains a researcher's rigor that informs robust, reproducible data solutions.
11 years of coding experience
13 years of employment as a software developer
Master of Science (MSc) Mathematical Modeling and Scientific Computing, Master of Science (MSc) Mathematical Modeling and Scientific Computing at National Chiao Tung UniversityBachelor of Science (BSc) Mathematics, Bachelor of Science (BSc) Mathematics at National Taiwan UniversityNYC Data Science Academycoursera
English, Chinese, German
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (120)
cloud-computing10
python10
etl10
automation10
mlops10
docker-container10
command-line-tool10
orchestration10
apache-airflow10
javascript10
data-engineering10
linux10
docker-compose10
scheduler10
autonomous-agents10
Programming languages (13)
Github contributions (5)
etusolution/erjsTesting
Dec 2014 - Jan 2015
Contributions:90 commits, 4 PRs, 2 pushes in 29 days
testingjavascripttypescript
suensummit/Auto-GPT
Apr 2023 - Nov 2023
An experimental open-source attempt to make GPT-4 fully autonomous.
Contributions:24 pushes, 4 branches in 6 months
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