Umar Moiz
AI Research And Development Analyst (Internship) at Marsh
Singapore
Summary
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Top SchoolUmar Moiz is an ML engineer and AI R&D analyst based in Singapore with eight years of experience applying machine learning to real-world problems across finance, maritime, and enterprise contexts. Currently completing an MSc in Digital Financial Technology at NUS and interning on Marsh’s AI R&D team, he has built and scaled production conversational AI systems at DBS—raising concurrent user capacity from 20 to 6,000—and optimized models and GPU pipelines using tools like FastT5, ONNX and vllm. He combines hands-on MLOps and DevOps skills (Docker, Kubernetes, Vertex AI) with practical data products—such as a KYC webcrawler and an AIS-based fuel-efficiency predictor—that drove automation and operational gains. Outside core engineering, he enjoys teaching coding and robotics to kids and has leadership experience from Singapore’s civil defence service, bringing disciplined problem-solving and clear communication to interdisciplinary teams.
7 years of coding experience
1 year of employment as a software developer
Physics, Physics at GEMS EducationMaster of Science In Digital Financial Technology, Artificial Intelligence, Master of Science In Digital Financial Technology, Artificial Intelligence at National University of Singapore
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (7)
github9
git9
patch7
duke6
methodology6
subversion5
cli4
Programming languages (5)
Github contributions (5)
notahotdog/main
Sep 2019 - Nov 2019
Duke is a command line based personal assistant
Contributions:41 pushes, 3 branches, 3 tags in 1 month
assistantpersonal-assistantdukecli
fitNests/fitNests
Sep 2020 - Nov 2020
Contributions:4 commits in 2 months
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