Summary
Milad Ketabi is a Senior Applied AI Scientist based in Melbourne who builds end-to-end AI/ML systems—from data preprocessing and classical models to Transformers, LLM fine-tuning, and cloud deployment—anchored by eight years of production engineering experience and a decade-long background in software systems. He combines rigorous analytical training (Math Olympiad medalist and advanced degrees in mathematics and a PhD track in computer science) with practical expertise in performance, security, and distributed high-performance computing. Milad has improved reliability and scalability across research and industry roles at Openstream.ai, Surrey Centre for Cyber Security, ConsenSys, CSIRO Data61, and UNSW, often translating research into automated, auditable pipelines and validation tooling. He’s equally comfortable optimizing low-level distributed primitives and tuning large models for few-shot and zero-shot performance, and his public ML/AI engineering portfolio showcases reproducible, production-ready solutions. A subtle strength is his track record of closing assurance gaps and collaborating with hardware partners (e.g., NVIDIA) to push RDMA/HPC integrations into practical use.
8 years of coding experience
6 years of employment as a software developer
Australian National University
High School Diploma, Mathematics, High School Diploma, Mathematics at National Organization for Development of Exceptional Talents (Sampad)
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at University of Tehran
Master's degree, Applied Mathematics, Master's degree, Applied Mathematics at Sharif University of Technology