Summary
Lenar Gabdrakhmanov is a Machine Learning Engineer with a decade of experience building production-grade AI systems across GenAI, computer vision, forecasting, and NLP. He has led end-to-end delivery of LLM-powered assistants, demand-forecasting pipelines, video analytics and document processing platforms using PyTorch, TensorFlow, XGBoost, LangChain and AWS. At Provectus he modernized ML infrastructure (SageMaker, Databricks, Snowflake), halving deployment time and cutting training costs while improving model accuracy on diverse tasks like biomedical prediction and real-time broadcast analytics. Comfortable in fast-paced, product-focused teams, he combines MLOps expertise (CI/CD, Kubeflow, MLflow) with hands-on model engineering to shorten development cycles. Now based in Serbia and currently at Finom, he brings a proven track record of scaling ML systems from prototype to cost-efficient production.
10 years of coding experience
9 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Institute of Computational Mathematics and Information Technologies, Kazan Federal University
English, Russian