About Kirill
I'm a software engineer with 5+ years of experience building scalable web applications and services, with a primary focus on backend architecture and distributed systems.
My expertise includes designing, developing, deploying, and maintaining production systems end-to-end. I take ownership of the entire software lifecycle - from requirements gathering and system design to implementation, testing, deployment and production monitoring.
Russian
Native or bilingual
Estonian
Fluent
English
Fluent
Can work on-site
Tallinn (up to 50km)
Experience
- Normalic OÜLead Software engineerTECHJanuary 2025 - April 2026 (1 year and 3 months)Tartu, EstoniaI designed and delivered a scalable AI-powered manufacturing analytics platform that transforms raw factory data into actionable insights for production managers, operators and executives.The platform collects data from multiple sources, including machine sensors, PLCs, ERP systems and third-party manufacturing services to improve Overall Equipment Effectiveness (OEE), machine availability, production quality and operational performance.The result was a production-ready MVP that demonstrated measurable business value and established the technical foundation for future product growth.The platform helps manufacturers:
- Reduce production losses
- Detect inefficiencies before they become costly
- Improve machine availability
- Increase production quality
- Enable faster operational decision-making
- Transform raw factory data into actionable intelligence
Instead of simply displaying dashboards, the system prioritizes meaningful AI-driven insights that help teams know what happened, why it happened, and what action should be taken. - GlobalReader OÜSoftware engineerINTERNET OF THINGS (IOT)November 2021 - April 2026 (4 years and 5 months)Tartu, Estonia• • Owned a production backend API service, leading feature development, code reviews, and CI/CD, improving reliability and performance.• • Designed, built and operated an Elixir-based API service on Google Cloud Platform handling full lifecycle from requirements gathering and development to deployment.• • Developed and maintained a full-stack Remix service integrating with ML/AI data pipelines on GCP (Vertex AI), delivering actionable insights from production line data.• • Implemented REST API specification and documentation using OpenAPI, enhancing usability and integration speed.• • Streamlined release workflow by building CI/CD pipelines, reducing deployment time by 60%• • Increased unit & integration test coverage by 50%, leading to more stable releases.• • Resolved performance bottlenecks by optimizing SQL queries and refactoring slow code, improving overall response times, reducing latency by 80% (1.5s → 250ms).• • Improved backend observability by integrating services with Kibana and Datadog enabling centralized dashboards, faster incident detection and better error/info metrics.
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Education
- BEngTartu University2022BEng