andriikl

Architected and deployed a production-grade trading platform, handling the full system design and automated CI/CD pipelines. Engineered a proprietary real-time market data engine using Python/FastAPI and raw Solana RPC/WebSocket streams. Designed a cost-efficient, scalable cloud infrastructure on AWS using CDK to orchestrate ECS Fargate containers and Aurora PostgreSQL. Integrated directly with Raydium and Pump AMM pools, deriving pool state via PDAs and parsing on-chain account layouts for real-time price calculations. Implemented transaction-building flows and custom instructions for swaps, token account closures, and complex multi-instruction batching.

Built and deployed the Eligibility service, a feature rollout system for Ring devices, using AWS Lambda and internal Amazon tooling. Built components of the event processing service handling high-volume device events and metadata, optimizing DynamoDB access patterns. Improved performance and availability of event pipelines and backend APIs under large-scale workloads. Strengthened service stability by improving on-call processes and reducing recurring operational issues.

Developed cloud services supporting device state, settings, and event synchronization across Ring’s camera ecosystem. Worked closely with firmware, mobile, and QA teams to coordinate device–cloud integration and ensure smooth cross-team delivery. Built APIs and automation flows that supported new device features and cross-platform updates.

Developed Ruby on Rails applications with REST APIs Improved database performance through SQL optimization, schema refactoring. Collaborated with different teams to standardize API patterns and improve reliability across shared services