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