Joshua Adrian Cahyono
Summary
🤩
RockstarJoshua 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
Github Skills (29)
benchmark10
convolutional-neural-networks10
video-understanding10
language-understanding10
visual-question-answering10
discord9
evaluation9
large-language-models9
multimodal9
agi9
audio9
computer-vision9
huggingface8
generative-ai8
pytorch8
Programming languages (5)
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
pre-trained-model
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.