Gusti Winata is a pragmatic Machine Learning Engineer and Community Researcher with 9 years of experience building production-ready ML and MLOps systems across AIoT, 3D vision-language, and LLM research. He has a track record of scaling ML services into multi-service production environments, standardizing reproducible workflows with tools like AzureML, MLFlow, DVC, and Docker, and shipping demo-grade systems that bridge research to product. At Cohere he contributed to multilingual RLHF and led a 20+ researcher RL special interest group, while earlier roles delivered end-to-end IoT, satellite, and OCR pipelines for enterprise users. Comfortable leading cross-functional programs and international collaborations, he combines deep engineering chops with teaching and mentoring experience, having run ML/IoT courses and open-source contributions. Open to relocation or remote roles, he brings a practical researcher mindset—able to turn novel model ideas into monitored, deployed services that solve real operational problems.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering - BE, Computer and Electrical Engineering, Bachelor of Engineering - BE, Computer and Electrical Engineering at Institut Teknologi Bandung
Nanodegree of Deep Learning, Artificial Intelligence, Nanodegree of Deep Learning, Artificial Intelligence at Udacity
Graduate, Natural Sciences, Graduate, Natural Sciences at SMAN 1 PADANG PANJANG
Contributions:5 reviews, 47 commits, 31 PRs in 2 months
celerybeatpythonredisfastapidocker-compose
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