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General Information
| Full Name | Lam Ngo |
| Date of Birth | 25th January 1997 |
| Languages | English, Vietnamese |
| Programming Languages | Python, C++, C# |
Education
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2023 - 2024 MSc in Computer Science (Major in Computer Games Technology)
City St Georges, University of London - Global STEM Leadership Masters Scholarship, 75% tuition award given to 10 top applicants.
- Thesis titled, Feature Extraction of Deep Dynamic Network for Reinforcement Learning.
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2016 - 2020 BSc in Mathematics
Sewanee - University of the South
Research Experience
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2025 - now AI/ML Research Engineer
CitAI Research Center - Investigating dataset partitioning methods to tackle the scarcity of real-world data in federated learning for computer vision tasks, both for natural and medical images.
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2024 - 2025 AI/ML Research Technician
Dept. of Computer Science, City UoL - Explored environment modelling for reinforcmement learning tasks using feature extraction and dynamic programming.
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2019 - 2020 Research Intern
American Museum of Natural History - Technical assistant for project Terrapin Tracker, an animal tracking system, which was selected as finalist for the Con X Tech Prize 2020.
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2016 - 2020 Undergraduate Research Assistant
Dept. of CS and Dept. of Biology, Sewanee - University of the South - Data engineer and analysis for biological transcriptome projects. Also developed drone-based wildlife monitoring system.
Related Industry Experience
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2023 - 2024 C++ Programmer Mentee
Ubisoft Leamington - Built a simple game engine in C++ and built a game using the engine, utilizing several programming design patterns. Also implemented AI system to predict players movements.
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2022 - 2023 Junior Programmer
IndiGames Inc - Collaborated with Japan team to deliver 3 commercial products for clients in Japan. Responsible for core gameplay, UI, general systems and multiplayer features.
Academic Interests
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Computer Vision & 3D Graphics
- 3D Recontruction & Digital Twin
- Simulation
- Human-Computer Interaction & Human-AI Interaction
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Agentic AI and Workflows
- Multi-agents agentic workflow