Responsible for ML operations and infrastructure.Tech: Google Cloud Platform (GCP), Generative AI (Gen AI), Large Language Models (LLM), Fine-TuningLanguages: Python, GolangFrameworks: Vertex AI, Apache Airflow

Delivery Club is one of the largest food delivery services. More than 150 cities, 22k restaurants on the platform, 10 million transactions every month.- Collaborated with cross-functional agile teams of data scientists, machine learning engineers, softwareengineers, and others in building machine learning infrastructure that best supports the ML needs (AutoML, Python, Go, Airflow, Jenkins, Kubernetes, Grafana)- Built batch and streaming data pipelines with tools such as Spark, Hudi, Hadoop, Airflow and Hive which formed the basis of ML Platform- Designed and build metrics, dashboards to measure both ML and system performance- Improved existing ML related business processes and developed new ones to launch projects on schedule

Centralized exchange that lists derivative contracts on both cryptocurrencies and traditional assets.- Designed and built a foundation for market data solutions and currently lead initiatives on top of that including design, development, support and documentation (AWS, Jira, Python, Docker)- Architecture and oversaw internal market making solution ensuring the liquidity on the exchange. Services provide consistent market data flow including orders execution across multiple instruments and different traditional and crypto exchanges (Python 3.7, ZeroMQ, Docker, Amazon ECS, Asynchronous I/O)- Build multiple services ensuring product quality during various business stages

Proprietary trading firm specializing in derivatives market-making and sophisticated modeling with a commitment to cutting-edge technology.- Designed market data and execution platform to ensure company’s dominance on crypto currency exchanges (C++11/14, Python 3.6, Solace, WebSockets, Rest API, Jenkins, Kibana)- Planed, designed and implemented high quality Linux services using modern C++ technologies- Troubleshot and solved complex problems involving cross-functional teams

High-performance, computational mathematics company- Completed and supported computational mesh generation project for ExxonMobil Upstream Research Company (URC) ( C++11, Python, Ctest, Valgrind, Cron, GDB )- Developed and applied surface extrapolation and well generation methods and multithreaded algorithms used in many critical project components

Web-based performance enhancement solution that integrates seamlessly into company meetings to improve employee engagement, culture, fairness of bonus distributions