Summary
🤩
Rockstar🎓
Top SchoolAdhi Setiawan is an AI research engineer with 7 years of experience specializing in reinforcement learning, multimodal AI, and production-ready inference systems, currently focused on Embodied & Physical AI. He has led applied research and engineering efforts across VLMs, RAG pipelines, and RL-based combinatorial optimization, translating prototypes into scalable MLOps deployments with kernel-level and memory-efficient inference optimizations. His work spans medical and genomic applications, mobile RAG assistants, and vehicle routing, and he has presented tutorials on synthetic data and RL at PRICAI. Based in Malang, Indonesia, Adhi blends classical robotics (SLAM, ROS, path planning) with learning-based world-model and language-conditioned policies to ground high-level instructions into agent behavior. Notably, he optimizes large-model serving with paged-attention decoding and dynamic batching, enabling low-latency multimodal systems suited for constrained hardware.
6 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at University of Brawijaya
Indonesian, English