Charles Melby-thompson
AI Lab Tech Lead at AI inside 株式会社
Greater Tokyo Area Japan
Summary
🤩
Rockstar🎓
Top SchoolCharles Melby-Thompson is an AI researcher and engineering leader with five years of industry experience who currently serves as Tech Lead of the AI Lab at AI inside in Tokyo. He designs and ships end-to-end AI systems—from synthetic data and model training to an internal scalable workflow platform and on-premises inference infrastructure—bridging research-grade methods with production constraints. His background includes postdoctoral research in theoretical physics and a PhD from UC Berkeley, giving him deep quantitative rigor that he applies to practical engineering problems. Known for shepherding work on AI agents and infrastructure, he excels at turning experimental ideas into robust, deployable systems alongside multidisciplinary teams.
5 years of coding experience
Doctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at University of California, BerkeleyMSc, Mathematics and Computer Science, MSc, Mathematics and Computer Science at University of OxfordA.B., Physics, A.B., Physics at Princeton University
Github Skills (109)
python-client10
computer-graphics10
mesh-processing10
nvidia-docker10
client-library10
rendering10
tensorrt10
odometry10
nvidia10
open3d10
cluster-computing9
whisper9
opengl9
python9
3d9
Programming languages (8)
Github contributions (5)
charlesmelby/__init__
Apr 2021 - Jul 2021
Contributions:3 pushes, 1 branch in 2 months
charlesmelby/alembic-enums
Aug 2023 - Aug 2023
Support for migrating PostgreSQL enums with Alembic
Contributions:1 push in 1 day
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