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Work experience

Senior Python Developer

from 02.2025 to now (1 year 6 months)
Odore, Дистанційно (IT)

Multi-tenant B2B platform for globally recognized cosmetic brands to run UGC-creator partnership portals with
campaigns, rewards, surveys, and brand customization. Senior-only team, high-intensity startup pace.
- Drove architectural decisions through ADRs and API contracts; participated in planning and technical direction
alongside product and frontend teams.
- Built user segmentation engine and real-time analytics dashboards; designed a caching layer that deduplicated
queries between the frontend and a third-party integration, cutting database load.
- Ran load tests using Locust to evaluate API and database performance
- Continuously optimized expensive queries; reduced one critical endpoint from 35s to 4s via query rewriting,
materialized views, and duplicate elimination.
- Delivered multi-language support, creator discovery via third-party APIs, Cognito-based auth, and cross-region
user/data migration scripts.
- Configured read-write replicas and RDS Proxy connection pooling; diagnosed and fixed non-trivial ORM bugs that
silently prevented data updates and disrupted connections under replica routing.
- Designed async report-generation pipeline (Celery - S3) with pre-computed statistics to replace on-the-fly
calculations, significantly reducing generation time
- Replaced HTTP polling with a WebSocket-based delivery channel for long-running background tasks, enabling
server-push notifications on task completion and eliminating redundant client requests
- Integrated Sentry for error tracking and monitoring in production

Senior Python Developer

from 05.2022 to 01.2025 (2 years 9 months)
GlobalLogic Ukraine, Київ (IT)

- Led a team of 5 Python developers during the final year, owning task prioritization, code reviews, technical decisionmaking, and conducting hiring interviews while continuing hands-on development.
- Built an analytics tool that turns raw microscopy images into actionable defect reports for RAM bars;
- Designed a container-based microservice ecosystem using Nameko framework that lets each compute-heavy
algorithmic module scale horizontally on demand, cutting average dataset-processing time by ~60 %.
- Led R&D on channel-defect detection (object detection, contour extraction, 3-D tilt visualisation) and partnered daily
with an international ML team to productionise research code in a web service
- Raised integration-test coverage using Pytest + Mock Server, catching regressions early in CI.
- Introduced Docker layer caching and multi-stage builds in Azure Pipelines, shrinking image-build time from ~41
min to 9 min.
- Architected an in-house Kubernetes-native FaaS platform (RabbitMQ + KEDA), achieving scale-to-zero and saving
on GPU idle costs.
- Integrated Nvidia GPU Operator with Prometheus/DCGM, leveraged MIG partitioning and GPU timeslicing, and
orchestrated batch-level autoscaling via KEDA - raising average GPU load from 20 % to 80 %
- Profiled compute-heavy algorithmic modules with py-spy to identify CPU bottlenecks and redundant debug routines
- Operated and tuned GPU-accelerated ML workloads (PyTorch/TensorFlow) in production Kubernetes clusters

Middle Python Developer

from 08.2020 to 04.2022 (1 year 9 months)
Health Sync, Київ (IT)

- Built the cloud backend for a diabetes-management platform: mobile apps upload patients’ blood-glucose readings,
and doctors track trends and alerts in a web dashboard
- Led a major refactor that collapsed over-granular microservices into a single streamlined service, removing needless
complexity, lowering operating costs, and speeding up feature delivery
- Created a one-tap SOS feature that texts emergency contacts with location and current glucose level when values are
critical.
- Implemented role-aware JWT auth with optional TOTP 2-FA;
- Added lightweight docker-compose preview environments for pull requests, speeding up manual QA of new features
- Managed a phased migration from a legacy NoSQL store to a new relational schema—rewrote data-access layers,
ran back-fill jobs, and kept Celery workers running uninterrupted for scheduled alerts and housekeeping.
- Re-engineered the CI pipeline on GitHub Actions with parallelized pytest jobs, dropping build-and-test time

Fullstack Developer

from 02.2019 to 07.2020 (1 year 6 months)
Yeti, Київ (IT)

- Engineered a low-latency algorithmic-trading platform that executed orders across Binance & FTX
- Deployed 15 automated strategies that delivered a consistent average monthly ROI
- Built a React dashboard for real-time P/L and risk metrics
- Created a back-testing framework that processes one year of tick data in <3 min, giving quants rapid feedback on
strategy tweaks.
- Drove architecture discussions with founders and key clients, translating trading ideas into production code.
- Built a real-time notification pipeline that pushes p

Education

КПІ

ІПСА. Системний Аналіз, Київ
Higher, from 2018 to 2022 (4 years)

Language proficiencies

English — above average