Yerlan Amanzholov

Senior Machine Learning Engineer @Alphalens

Oslo, NO

Optimized Kubernetes resource utilization by refactoring the SQLAlchemy engine to async and improving query performance, reducing the required number of pods by approximately 75%.2. Enhanced large-scale vector-based product retrieval engine (6M+ products) by implementing cross-encoder re-ranking on initial vector distance results, achieving 6% higher precision and 6-7% improvement in NDCG3. Developed an automated competitive intelligence solution using LangChain and Amazon Bedrock that integrates multiple internal APIs to generate comprehensive reports comparing products against top 5 competitors, reducing analysis time from several hours to 20 minutes and enabling faster market response and strategic decision-making for VC firm clients.4. Built and deployed a LangGraph-based competitive intelligence agent in Python that aggregates multi-source data (funding history, team profiles, product features) through API integrations, providing a unified entrypoint for VC analysts to access comprehensive competitive analysis in a single interface

Nazarbayev University

Bachelor's degree, Electrical and Computer Engineering