Thomas Chong
AI Research Engineer at Beever AI
Old Toronto, Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolThomas Chong is an AI Research Engineer with six years of experience specializing in natural language processing and large multimodal models, currently based in Old Toronto. He has driven research and product work across startups and industry labs, contributing to ACL 2025 oral papers on multimodal theorem explanations and Cantonese cultural understanding while shipping products like Votee MAGIC and Votee AI Studio. Prior roles include research at NVIDIA on vision-language models with mathematical reasoning and applied data science in finance and enterprise settings, giving him a strong bridge between cutting-edge research and production systems. Educated at HKUST (BEng, MSc in Big Data Technology) with entrepreneurial training at IESE, he blends technical depth with product and business sensibilities. Known for turning research prototypes into user-facing tools, he brings a practical, evaluation-focused approach to LLM alignment and multilingual model benchmarking.
6 years of coding experience
2 years of employment as a software developer
Entrepreneurship/Entrepreneurial Studies, Entrepreneurship/Entrepreneurial Studies at IESE Business SchoolHong Kong University of Science and Technology (HKUST)
法文, English, Chinese, Chinese
Github Skills (29)
bert8
visualization8
pytorch7
natural-language-processing7
code-first7
language-model7
jupyter-notebook7
nlp7
visualizations6
manim6
slack-bot5
ai-agent4
multimodal4
discord-bot4
gpt4
Programming languages (6)
Github contributions (5)
thomas-chong/thomas-chong.github.io
Mar 2025 - Jan 2026
Contributions:3 PRs, 19 pushes, 1 branch in 10 months
thomas-chong/leetcode-prep
Dec 2021 - Jun 2022
Contributions:36 pushes, 1 branch in 6 months
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