Summary
Eufrat Tsaqib is a Lead AI Machine Learning Engineer with 11 years of experience building and scaling cloud-native AI, ML and data platforms across GCP, Alibaba Cloud and AWS. Known for blending a physics-trained problem-solving mindset with hands-on engineering, he has led teams to deliver agentic AI, large-model inference optimization, recommender systems, geolocation and fraud detection at scale for fintech products reaching tens of millions of users. He has a strong track record of operational excellence—driving significant cost and reliability improvements (including a cited 60% GCP efficiency gain at LinkAja) while owning infra, SRE and ML tooling. A serial startup contributor and co-founder, he built early IoT and real-time analytics platforms and helped ship eKYC and national-scale video analytics systems at Nodeflux. Eufrat enjoys mentoring engineers and moving research-grade models into robust, cost-conscious production pipelines. He is now seeking the next leadership opportunity where cloud, data and AI converge to solve high-impact problems.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at University of Indonesia
English, Indonesian, French