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Work Background
GenestackSenior Software Engineer
Jul. 2023SerbiaHigh-Performance Bioinformatics Tool: • Engineered a sophisticated genomic analysis platform integrating ML scoring algorithms, multiple CRISPR mechanisms (Base/Prime editing), and off-target prediction • Implemented efficiency calculations based on biological parameters, including ViennaRNA structure models, deployed on AWS high-performance computing infrastructure • Replaced existing solutions with a more efficient implementation, reducing processing runtime by over 80% Drug Discovery Data Pipeline: • Architected an end-to-end data pipeline for high-throughput screening using Airflow for orchestration, Snowflake for storage, and Neo4j for relational analysis • Implemented with Python (Pandas, Pydantic) and containerized with Docker on Kubernetes for scalability • Optimized pipeline to process over 500,000 experimental data points daily, reducing data preparation time from hours to minutes
EPAM SystemsSenior Software Engineer
Nov. 2020 - Jul. 2023St Petersburg, St Petersburg City, RussiaAdvanced Fuzzy Search System: • Engineered a solution using AWS OpenSearch with custom analyzers and tokenizers for handling spelling errors and semantic variations • Implemented configurable weighted search algorithms allowing users to prioritize specific attributes (e.g., prioritizing vehicle drivetrain over color) • Achieved high search accuracy for queries with up to three misspelled characters while maintaining sub-300ms response times Enterprise Integration Platform: • Led backend development for streamlining document exchange across international departments • Integrated complex business logic, machine learning solutions, and third-party APIs (SAP) using Python microservices architecture • Achieved high data processing accuracy while handling 2,000+ daily transactions, reducing failed integrations by 65% Development Environment Enhancement: • Established standardized development practices to improve code quality and consistency • Implemented pre-commit hooks, ruff for linting, Pytest for testing, and SonarQube for code quality metrics • Decreased production incidents from 12 to 4 per month on average following implementation of comprehensive testing protocols
GS LabsSoftware Engineer
Nov. 2017 - Nov. 2020St Petersburg City, RussiaOTT TV Virtual Channel: • Designed and implemented virtual channel functionality for over-the-top television service using Python • Integrated with existing content delivery infrastructure and ensured seamless user experience • Contributed to product offerings diversification and expanding market reach Performance Enhancement: • Implemented Redis cache server with pattern-based invalidation that selectively refreshed content based on user interaction patterns and modification frequency • Added Prometheus and Grafana monitoring for real-time performance visibility • Reduced average response time from 850ms to 320ms under peak load conditions, exceeding SLA requirements Viewing History Feature: • Designed data collection pipeline using Kafka and implemented analytics processing with Spark • Implemented composite B-tree indexes on user_id and timestamp columns with partial filtering for recent views, reducing query time by 70% • Created foundations for the recommendation system, enabling personalized content suggestions based on user behavior patterns
Dom Yunosheskogo Tekhnicheskogo Tvorchestva Chelyabinskoy OblastiJunior Software Engineer
Jun. 2016 - Nov. 2017Chelyabinsk, RussiaE-commerce Platform: • Developed Django-based websites with PostgreSQL backend for professional development courses • Integrated payment processing systems and implemented responsive design • Optimized database queries and implemented caching, reducing average page load time by 62% and supporting up to 500 concurrent users
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