Summary
Bauyrjan Jyenis is a Technical Program Manager at Google DeepMind with over a decade of hands-on experience bridging machine learning, software/hardware engineering, and program leadership across high-tech, security, mining, and industrial domains. He combines a Master’s in Industrial and Systems Engineering with data science and AWS deep learning certifications to deliver end-to-end ML solutions—from prototyping to production—particularly in embodied AI and conversational systems. Previously he built AI-driven chatbots, intent classifiers, recommendation engines, and optimization tooling while mentoring teams and driving operational impact at Allied Universal and Rio Tinto. Comfortable in both research-adjacent and production environments, he pairs deep technical fluency (TensorFlow, DNNs, NLP) with pragmatic program management to advance complex cross-functional initiatives. An engineer at heart, he has rotated between roles in software, hardware, and program management, which gives him a rare ability to translate research goals into scalable, field-ready systems.
9 years of coding experience
6 years of employment as a software developer
Master of Science, Industrial and Systems Engineering, 3.65/4.00, Master of Science, Industrial and Systems Engineering, 3.65/4.00 at Colorado State University
Bachelor of Science - BS, Electrical and Electronics Engineering, Bachelor of Science - BS, Electrical and Electronics Engineering at Istanbul Technical University
Bachelor of Science - BS, Computer Engineering, Bachelor of Science - BS, Computer Engineering at Boğaziçi University
Russian, French, Mongolian, Turkish, English