Summary
Sakib Ahamed is a Machine Learning Engineer with eight years of experience bridging research-grade deep learning and production ML systems, currently at Hedra after roles at Replicate and Lenz Labs. He holds a Master of Informatics in AI from the University of Edinburgh and has produced near–state-of-the-art research in DeepFake detection alongside award-winning work building a QA search engine over English Wikipedia. His strengths span computer vision, NLP (transformers), generative models, reinforcement learning and Bayesian inference, paired with hands-on MLOps and cloud deployment expertise across AWS, GCP and Azure. Sakib is deeply committed to AI safety and ethical AI practices, and brings uncommon experience applying nature-inspired optimization (particle swarm, evolutionary methods) to tune neural networks for real-world performance. Outside of work he balances high-risk hobbies like skydiving with endurance sports, reflecting a willingness to test boundaries both technically and personally.
8 years of coding experience
7 years of employment as a software developer
Master of Informatics - MInf Artificial Intelligence, Master of Informatics - MInf Artificial Intelligence at The University of Edinburgh
The Royal High School
English, Bengali