Данило

Danylo Chystiakov
+ Poznan, Poland | ƒ [открыть контакты](см. выше в блоке «контактная информация») | ƒ [открыть контакты](см. выше в блоке «контактная информация») | # [открыть контакты](см. выше в блоке «контактная информация»)
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Summary
Software Engineer transitioning into MLOps and Python ML Backend roles. Experienced in designing microservice
architectures, developing robust REST APIs, and integrating machine learning models (e.g., OCR systems) into production
pipelines. Deeply focused on infrastructure automation, CI/CD, and the full model lifecycle management using modern
MLOps tools.

Technical Skills
• MLOps & Infrastructure: Docker, Kubernetes, CI/CD (GitHub Actions), MLflow, DVC, HashiCorp Vault, Linux
(NixOS).
• Backend Development: Python, FastAPI, REST APIs, Microservices.
• Message Brokers & Storage: RabbitMQ, Redis, PostgreSQL, MongoDB, S3 (MinIO, SeaweedFS).
• Machine Learning & Data: PyTorch, Tesseract OCR, Pandas, NumPy, Scikit-Learn, Great Expectations, Feast.
• Languages: English (B2).

Experience
Learn To Earn Global February 2024 – March 2025
Back-end Developer & ML Engineer
• Engineered and integrated an OCR scanning system utilizing Tesseract to automate the extraction and processing of
data from PDF documents.
• Developed robust backend infrastructure to support the deployment and serving of AI features within existing business
processes.
• Designed APIs and managed database integrations to ensure reliable communication between ML components and the
core software platform.

Paradigm School (non-official) May 2024 – February 2025
Python Programming Teacher
• Conducted foundational Python programming lessons, explaining complex technical concepts in an accessible manner.

Key Projects
Standardized ML Project Template (MLTemplate) Personal Project

• Developed a reproducible environment configuration using NixOS flakes (flake.nix) and uv.lock dependency man-
agement.
• Implemented CI/CD pipelines via GitHub Actions (ci.yml) to automate testing and release workflows.
• Structured model architecture configurations, establishing clear patterns for tasks such as Convolutional KANs (convkan exampl

SKU Forecasting System November 2025 – February 2026
Backend & Infrastructure Engineer
• Designed the architecture and infrastructure for a microservice-based product sales forecasting system.
• Implemented asynchronous task processing and communication pipelines using RabbitMQ and Redis.
• Developed the core backend using FastAPI, configured PostgreSQL databases, and integrated S3 MinIO for scalable
BLOB storage.

Applied MLOps & Infrastructure Labs Ongoing
• Executing advanced configurations for model tracking and data versioning utilizing MLflow, DVC, and SeaweedFS.
• Containerizing ML training and serving environments with Docker, and orchestrating deployments using Kubernetes.
• Securing ML pipelines by integrating HashiCorp Vault for dynamic secret management and implementing data-quality
gates with Great Expectations.

Education
National Forestry University of Ukraine, Lviv 2022 – June 2026
Bachelor of Software Engineering, Institute of Computer Sciences and Information Technology
Publications
MoMLeT-2025: 7th International Workshop on Modern Machine Learning Technologies
Detection and recognition of mines using magnetic field sensors and Kolmogorov Arnold networks (2025)

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