Summary
Lalu Yusnu is a Lead Machine Learning & Data Science Engineer with 12 years’ experience building production-grade AI systems and cloud-native microservices from Indonesia. He blends deep learning expertise in computer vision and OCR with full-stack and DevOps skills—architecting Go and Python microservices, Terraform-backed AWS deployments, and queue-driven bulk OCR pipelines that process thousands of pages daily. At TabLogs he’s driving an AI-template generator that fuses CV segmentation with Qwen Vision/OCR to cut template creation from hours to minutes and built stateless PDF rendering and S3 streaming services with autoscaling validated by k6. His background includes MLaaS for ID card extraction, VIN fraud detection using UNet and Siamese networks, and public-health forecasting prototypes for Indonesia’s Ministry of Health, illustrating an unusual mix of domain breadth from geotech to digital health. He leads small cross-functional pods, ties model KPIs to dollar impact in OKRs, and stays hands-on in DevSecOps and CI/CD while mentoring engineers.
12 years of coding experience
10 years of employment as a software developer
Nano Degree, Deep Learning, Nano Degree, Deep Learning at Udacity
Bachelor of Information Technology, Networking, 3.14, Bachelor of Information Technology, Networking, 3.14 at STMIK Bumigora Mataram
SMAN 2 Mataram
English, Indonesian