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)
French, English, Chinese, Chinese
Github Skills (16)
text-mining8
manim7
natural-language-processing7
korean-nlp7
nlp7
pytorch6
text-generation6
roberta6
visualization6
topic-modeling6
jupyter5
visualize5
transformers4
transformer4
bert4
Programming languages (3)
Github contributions (5)
thomas-chong/leetcode-prep
Dec 2021 - Jun 2022
Contributions:36 pushes, 1 branch in 6 months
thomas-chong/2048-game
Dec 2020 - Dec 2021
Contributions:4 pushes in 11 months
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