Faber Silitonga is a Senior Data Scientist with 7 years of cross-domain experience applying ML to e-commerce growth, fintech, and high-frequency crypto trading. He has a strong track record improving promotion ROI and user acquisition—driving double-digit cost savings and measurable increases in conversion through uplift modeling and targeted voucher strategies at Tokopedia and ByteDance. Equally comfortable in research and production, he built an MLOps-backed crypto signal engine and trading bot that supported thousands of users and millions in trading volume, and now works on payment fraud prevention at GoTo. With an aerospace MS and BS, he brings rigorous analytical thinking from CFD and aerodynamics research into practical ML systems, and has collaborated on interdisciplinary projects such as computer-vision dental diagnostics. Fast-learning and ops-savvy, he blends model development with infra ownership to move features from prototype to reliable production.
7 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS, Aerospace, Aeronautical and Astronautical Engineering, GPA 3.89 / 4.00, Bachelor of Science - BS, Aerospace, Aeronautical and Astronautical Engineering, GPA 3.89 / 4.00 at Institut Teknologi Bandung
Velocity field visualization for either PIV or optical flow results
Contributions:38 pushes in 3 years 4 months
pivmercuryoptical-flowfieldoptical
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