Summary
Mustafa Celik is a Staff AI Engineer based in the San Francisco Bay Area with 10+ years building production-ready AI/ML systems across mobile, edge, and cloud. He has driven end-to-end projects from research and data collection to model optimization and deployment, including on-device ML with TensorFlow Lite and Core ML and real-time pipelines using Kafka and Apache Ignite. His recent work spans generative AI (Stable Diffusion, RAG chatbots), computer vision for security and agriculture, and interactive multimodal apps that combine ChatGPT, speech synthesis, and facial animation. Mustafa has published research, contributed fixes to the MOA streaming framework, and scaled solutions for millions of users, showing a rare mix of research rigor and product-focused engineering. Comfortable in both Python and Java ecosystems, he’s known for squeezing AI into constrained environments (Jetson Nano, mobile CPUs) while keeping models practical for production.
10 years of coding experience
10 years of employment as a software developer
Master's degree Computer Engineering, Master's degree Computer Engineering at Istanbul Technical University
Bachelor's degree Computer Engineering, Bachelor's degree Computer Engineering at Fatih University
English, Turkish