🐍 Evgenii Andreev

• Architected and deployed a natural language-to-SQL query system from scratch using OCI Generative AI, LangGraph, and MySQL HeatWave vector search for Oracle POC validation, securing client approval. • Built an RAG pipeline using FAISS-based semantic search and the OpenAI API, increasing answer relevance by 20% in internal QA tests, despite slightly higher latency. • Set up Dagster from scratch and developed 30+ jobs for system monitoring, reporting and analytics, enabling system state tracking and valuable insights for business decisions. • Implemented a Scrapy-based pipeline to pull data from 10+ endpoints, automating the collection of 50k+ records monthly and delivering real-time datasets for faster analytics and decision-making. • Refactored critical APIs into an asynchronous architecture (FastAPI + AsyncIO), sustaining a 37% higher request throughput and reducing CPU usage. • Configured KEDA for event-driven autoscaling of K8s pods, optimizing resource utilization and reducing infrastructure costs. Skills: AWS, FastAPI, Vue.js, Dagster, ClickHouse, SQLAlchemy, Atlas, PostgreSQL, MySQL, Redis, Celery, Docker, Datadog, OpenSearch, LangChain, Scrapy

• Designed, developed, and deployed APIs for clients and website users, designing and launching a new version into production that reduced error rates by 35% and achieved 99.9% uptime, enhancing overall system reliability. • Implemented seamless integrations with partner banks using event-driven architecture and microservices, enhancing system connectivity and streamlining financial operations. • Integrated Sentry for services monitoring, optimizing performance and reducing error resolution time by 50%. • Facilitated the enhancement of company services, improving performance, which boosted overall system reliability. Skills: AWS, FastAPI, SQLAlchemy, ClickHouse, PostgreSQL, Redis, Celery, Kafka, Docker, Grafana

• Architected and built 80% of the algorithmic trading department’s infrastructure from scratch, incorporating real-time data pipelines, automated trading systems, and monitoring tools. • Designed and launched operational dashboards using Grafana that aggregated data from 15+ sources, improving system observability and providing stakeholders with insights that enhanced strategic planning efficiency. • Created chatbots for Slack and Telegram, managing 1,000+ internal user interactions weekly, thus enabling customer service representatives to focus on more complex inquiries and improving overall productivity. • Engineered a robust, multi-layered notification framework that preemptively alerted stakeholders to 20+ potential risks; findings guided the resolution of three major causes behind operational downtime and improved service reliability. • Built a web service to manage robots and configurations, integrating internal services and streamlining business processes, which reduced manual configuration time and accepted 3 different types of robots. • Developed and optimized ETL processes, enabling real-time data collection for algorithmic trading strategies that increased trading efficiency. Skills: AWS, FastAPI, ClickHouse, AsyncIO, SQLAlchemy, PostgreSQL, Redis, Dagster, ElasticSearch, Celery, Airflow, RabbitMQ, Docker, Nginx, Minio, CI/CD, Jenkins, Grafana, CEX/DEX APIs

• Optimized services and enhanced security by refining server configurations and implementing protection against DDoS attacks, ensuring seamless operations and increased resilience. • Boosted system performance to achieve 99.9% uptime, ensuring reliable service availability for service users. • Launched a data-driven DEX aggregator engine that leveraged real-time analytics to optimize trading strategies; Feedback from users indicated a 70% improvement in decision-making efficiency for trades executed on the platform. • Authored comprehensive documentation and established CI/CD pipelines using Jenkins and Docker. Skills: FastAPI, AsyncIO, PostgreSQL, Redis, Docker, Nginx, Jenkins, CEX/DEX APIs, Selenium, BS4, ReactJS, SCSS