Summary
Aleksandr Grinberg is a Solutions Architect and seasoned data scientist with eight years of engineering experience and a BSc in Mathematics and Computer Science. He combines deep expertise in algorithms, data structures, and ML architecture with hands-on skills in productionizing search, recommender, and AdTech systems. Aleksandr has driven measurable gains—memory compression doubling efficiency, RL re-ranking improving relevance by 10–20%, and ETL redesign cutting RecSys costs by 40%—while leading small teams. Comfortable across the stack, he designs solutions for tight time and memory constraints and prototypes LLM-based embedding visualizations to inform product decisions. Now based in Tbilisi, he blends research-minded modeling with pragmatic engineering and a knack for cold-start and sparse-feature problems that many ML teams struggle with.
8 years of coding experience
6 years of employment as a software developer
Moscow State Technological University "Stankin"