I build production AI systems — agents, LLM pipelines, and automated workflows that replace manual processes in real business operations. My background spans healthcare, supply chain, enterprise automation, and open-source ML infrastructure.
Currently a Forward Deployed AI Engineer at Kodamai, where I act as the primary technical partner for enterprise clients across multiple simultaneous engagements. Previously built a physician-facing clinical AI platform at Exora AI that passed HIPAA and Singapore PDPA audit and was approved for live patient use.
My foundation is in classical and deep ML: XGBoost pipelines at scale, causal inference, computer vision (YOLOv11, segmentation, SAM 2), and fine-tuning foundation models with LoRA and modern quantization (AWQ, GPTQ, GGUF). I work daily with the current generation of vision-language models — Qwen3-VL, GLM-4.6V, InternVL3.5, MiniCPM-V — on document intelligence, medical imaging, ANPR, and long-context multimodal reasoning that now stretches to 256K interleaved tokens.
I contribute to open-source ML projects in my own time. Ranked #5 on the official Google/Flax contributor leaderboard over the last 12 months, with patches merged into the Flax NNX core. Six merged PRs in CPython and three in Uber/CausalML.