Joshua Cahyono
ML Research Engineer at Huawei
Singapore, Singapore
Summary
🤩
Rockstar🎓
Top SchoolJoshua Cahyono is an ML Research Engineer with four years of hands-on experience applying state-of-the-art generative models, robotics control, and interpretability techniques across industry and academic labs. Based in Singapore and graduating from NTU with a 4.7/5.0 in Artificial Intelligence, he has shipped production-facing tooling and platforms—from a 2,000+ user RAG-enabled exam forum to standardized LLM evaluation pipelines and contributions to vision-language model development. His work spans PyTorch-based custom U-Net/ViT/Swin architectures, diffusion planners for robotic motion in MuJoCo, and real-world RL applications including offline RL for healthcare, highlighting a rare mix of ML research and systems engineering. He’s led cross-functional teams in student and institute settings, built the first interpretability framework for IC hardware security segmentation, and competed successfully in ICRA BARN challenges using CBF and MPC strategies. Ambitious and curious, he’s increasingly focused on multi-agent systems and robotics with the goal of translating ML advances into tangible societal impact.
4 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Artificial Intelligence, 4.7/5.0, Bachelor of Science - BS, Artificial Intelligence, 4.7/5.0 at Nanyang Technological University Singapore
Github Skills (29)
convolutional-neural-networks10
evaluation10
multimodal10
bootstrapping10
vision-and-language10
language-understanding10
visual-question-answering10
computer-vision9
agi8
generative-ai8
large-language-models8
transformers8
pytorch7
deep-learning7
planning7
Programming languages (4)
Github contributions (5)
JvThunder/In-Trap-Board-Game
Jan 2023 - Jan 2023
Contributions:1 release, 45 commits, 36 pushes in 4 days
Plachtaa/BLIP_CIR
Feb 2023 - Mar 2023
Utilized BLIP pretrained model for conditional image retrival
Contributions:16 commits, 6 PRs, 13 pushes in 21 days
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