Oleksandr
Khomin

Develop and maintain backend systems that power S3's scalable storage service. My work focuses on improving performance, reliability, and cost-efficiency while building new features to meet customer needs. I also help monitor, troubleshoot, and optimize large-scale distributed systems to ensure S3's durability and availability.

Optimized Databee's event processing pipeline, handling 10+ million events per hour, reducing processing time from 300 ms to 5 ms using Golang, Redis, and AWS. Designed and implemented scalable backend services, making key architectural decisions to enhance performance, reliability, and cost efficiency.

Collaborated with cross-functional teams, ensuring seamless integration of security and compliance data within Databee's security data fabric platform. Mentored an intern, providing guidance on backend development and system design, fostering team growth and knowledge sharing.

Designed the technical architecture and fully implemented the backend for the application. Utilized cutting-edge technologies including Flutter, Golang, Node.js, and GCP.

Implemented NEAR Protocol Blockchain integration in the application using the Rust programming language, enhancing its functionality and efficiency.

Successfully managed a team of 5 professionals, ensuring seamless collaboration and project execution. Demonstrated strong leadership and project management skills throughout the development process.

Worked in the AdTech domain, focusing on backend development and large scale distributed systems. Designed and maintained services built with Golang and deployed through Docker and Kubernetes across GCP and AWS environments. Developed data processing components using Postgres and MySQL, with system monitoring and metrics handled through Prometheus. Contributed to performance tuning, reliability improvements, and cost optimization for production workloads.