Summary
Ruslan Ibragimov is an Applied Scientist with 10 years of experience building and deploying large-scale ML and deep learning systems across industry leaders including Amazon, Qualcomm, and AI21 Labs. He led development of multi-modal models for global advertising at Amazon and was a principal contributor to AI21’s 178B-parameter Jurassic Instruct LLM, blending research-grade modeling with product-facing safety and instruction-following improvements. At Qualcomm he translated SOTA biometric research into mobile anti-spoofing solutions used by over 100 million devices, demonstrating an uncommon ability to take algorithms from prototype to mass-deployment. His background spans reinforcement learning, computer vision, and full-stack engineering, enabling him to bridge research, engineering, and production operations. Based in Tel Aviv with an MSc in Machine Learning from UCL, he combines rigorous academic training with hands-on software craftsmanship. Colleagues describe him as a pragmatic innovator who focuses on measurable impact and shipping robust ML systems.
10 years of coding experience
32 years of employment as a software developer
MS, Computer Science, Applied Math, MS, Computer Science, Applied Math at Taras Shevchenko National University of Kyiv
Russian, Ukrainian, Chinese, English