Summary
Aydar Akhmetzyanov is a versatile Software Engineer with 11 years of experience building data, ML, and robotics-infused systems, currently based in San Francisco. He has driven production ML and data engineering work at DoorDash — from LangChain-based voice agents and LLM-driven evaluation tools to Snowflake and Databricks integrations, ETL pipelines in Airflow, and vector search solutions using Qdrant and ChromaDB. Earlier roles include leading conversational systems and NLU teams at Sberbank and developing dialog agents, active learning pipelines, and anomaly-detection models for telco platforms. Comfortable spanning research and production, he pairs deep ML/robotics training with practical data engineering chops and a history of shipping end-to-end automation for customer-facing and marketing systems. An uncommon strength is his ability to translate conversational research into scalable engineering (e.g., voice ordering agents that tie into data warehouses and automated evaluation tooling).
11 years of coding experience
7 years of employment as a software developer
Bachelors, Computer Science, Bachelors, Computer Science at Innopolis University
Master's Degree Exchange student, Data Science, Master's Degree Exchange student, Data Science at HARBOUR.SPACE
Bachelors, Economics, Bachelors, Economics at Kazan State University