Summary
Muhammad Pratama is a Senior AI and Machine Learning Engineer with 8 years of experience building production-grade ML systems across fintech and healthcare. He designs and operates end-to-end MLOps platforms—data pipelines, CI/CD, low-latency inference (P99 <100ms at 1800+ RPS), monitoring, and LLMOps—at scale using Kubernetes, Terraform, Redis, VectorDBs and cloud providers like Alibaba Cloud and GCP. His projects span fraud detection, credit scoring, recommendation engines, graph and facial analysis, and production LLM/RAG assistants, often acting as technical lead coordinating cross-functional teams. Notably, he implemented internal AI chatbots and optimized inference for sub-100ms latencies, reflecting both research curiosity and operational rigor. Based in Depok, Indonesia, he combines strong engineering discipline with a passion for creating AI solutions that deliver measurable business and societal impact.
8 years of coding experience
5 years of employment as a software developer
Mathematical and Natural Science Program, Average National Exam: 86.0 out of 100, Mathematical and Natural Science Program, Average National Exam: 86.0 out of 100 at SMA Negeri 3 Depok
Bachelor of Engineering - BE, Computer Engineering, Bachelor of Engineering - BE, Computer Engineering at University of Indonesia
Indonesian, English