Summary
Mostafa Didar is a data scientist with 8 years’ experience building production ML systems that drive supply chain, pricing, and community service decisions. He has delivered end-to-end solutions—from Snowflake data warehouses and dynamic pricing algorithms to multimodal RAG chatbots and NLP pipelines—across enterprises and not-for-profits. At Complexica he contributes to a commercial Decision Cloud powering optimisation for large SKU retailers, and in volunteer roles he’s scaled an AI information system used by 10,000+ community organisations while publishing at ALTA 2024. His background spans deep learning research on satellite imagery, full-stack product engineering, and hands-on ML ops, showing rare fluency across research, engineering and product. Known for pragmatic engineering, he instruments robust monitoring and data governance to keep models reliable in production. Based in Adelaide, he combines academic rigour from a Masters in AI with practical delivery that improves operational outcomes and community impact.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Science (B.Sc.) Computer Science and Engineering, Bachelor of Science (B.Sc.) Computer Science and Engineering at North South University
Master of Artificial Intelligence and Machine Learning, Master of Artificial Intelligence and Machine Learning at University of Adelaide