Summary
Fadhil Mochammad is a Machine Learning Engineer with nine years of experience building MLOps, experimentation platforms, and end-to-end ML systems across companies like Traveloka, Spotify, and Electrolux. He combines software engineering, cloud architecture, and data science to deliver high-availability services—having architected systems that ran 20K+ RPS, orchestrated 800+ experiments, and drove measurable revenue and conversion uplifts. Notably, he introduced multi-armed bandit capabilities and an asynchronous event-driven API to reduce conversion waste and resource consumption at scale. He also led development of centralized training pipelines on Kubeflow and productionized recommendation and forecasting models using modern MLOps patterns. Based in Stockholm, he pairs research-backed ML (KTH MSc) with hands-on product and startup experience, including co-founding a virtual sports platform that reached 3,000+ active users. Curious and pragmatic, he prefers solutions that make experimentation faster, cheaper, and more actionable.
9 years of coding experience
10 years of employment as a software developer
Bachelor of Engineering (B.Eng.) Electrical and Electronics Engineering, Bachelor of Engineering (B.Eng.) Electrical and Electronics Engineering at Institut Teknologi Bandung
Summer School Machine Learning, Summer School Machine Learning at Machine Learning Summer School (MLSS) Indonesia
Machine Learning, Machine Learning at KTH Royal Institute of Technology
Full-Stack Developer Computer Software Engineering, Full-Stack Developer Computer Software Engineering at Hacktiv8 Indonesia
English, German