Mark MA
Applied Scientist II at SAV (Scale Asia Ventures)
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolMark MA is an applied scientist with nine years of experience building production NLP and deep learning systems, currently working on LLM initiatives for Amazon’s A to Z experience. He combines an uncommon interdisciplinary background—a bachelor’s in Building Construction and Management and a master’s in Computer Science focused on AI—which informs his focus on digitizing traditionally analogue industries. Prior roles span startups and research, from developing ML engines at railtown.ai to academic GAN and CV work at UBC, giving him a strong bridge between research and product. He also operates at the intersection of venture and talent as a venture partner and scout manager, spotting early technical opportunities. Known for shipping pragmatic AI features in large-scale environments, he balances experimentation with delivering measurable customer impact. Based in Seattle, he brings entrepreneurial curiosity and domain versatility to complex AI problems that require both systems thinking and business context.
9 years of coding experience
6 years of employment as a software developer
BS Building and Real Estate; Minor in Real Estate Investment, BS Building and Real Estate; Minor in Real Estate Investment at The Hong Kong Polytechnic University云南师大附中MSc Computer Science, MSc Computer Science at The University of British ColumbiaExchange Program, Exchange Program at University of Waterloo
English, Chinese, Chinese
Github Skills (35)
summarizer6
text-based5
notebook4
evaluation4
keras4
python4
nlp4
deep-learning3
natural-language-processing3
docker3
benchmarking3
machine-learning3
marketing3
docker-compose2
compose2
Programming languages (3)
Github contributions (5)
ubc-vision/attribute-guided-image-generation-from-layout
Aug 2020 - Aug 2020
Contributions:25 commits, 21 pushes, 1 branch in 19 days
UBCMark/OBJ2TEXT-Improved
Mar 2018 - May 2018
Contributions:19 pushes, 3 branches in 1 month
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