# Maksym Voitko — mxvtk.dev

> Technology leader and staff-level engineer with 10+ years building data platforms, AI systems and leading R&D teams.

## About

Maksym Voitko is a technology leader joining Monday.com as R&D Tech Lead (April 2026). Previously Head of Data & AI at Honeycomb Software, where he led a cross-functional team of ML, software and DevOps engineers building end-to-end data products, vectorisation pipelines and multi-agent RAG systems.

Career path: QA → Test Automation → Data Engineering (glomex) → Computer Vision/AI (SoftConstruct AJNA) → ML Team Lead (GR8 Tech) → Head of Data & AI (Honeycomb) → R&D Tech Lead (Monday.com).

Education: Master's in Computer Engineering (KPI, 2018), Master's in Civil Engineering (KNUCA, 2013).

## Expertise

- **Retrieval-Augmented Generation (RAG)**: Designed and deployed multi-agent RAG systems with vectorisation pipelines, embedding strategies and retrieval-optimised architectures.
- **MLOps**: Built production MLOps infrastructure from scratch using Kubernetes, Kubeflow, Airflow, MLFlow and DVC. Created YAML-driven DAG factories for code-free pipeline authoring.
- **Data Platforms**: End-to-end data platform design — real-time analytics pipelines, data warehousing, ETL/ELT, streaming with Kafka, migration and optimisation.
- **Computer Vision**: Led development of AI-powered sports tracking (AJNA) with panoramic video stitching, object detection, player and ball tracking from 8K camera feeds.
- **Engineering Leadership**: Led cross-functional R&D teams (ML, software, DevOps). Designed interview processes, mentored engineers, drove technical strategy.

## Notable Projects

- **Multi-Agent RAG at Honeycomb Software**: Architected vectorisation pipelines and deployed multi-agent RAG systems for end-to-end AI data products.
- **ML Recommendation Platform at GR8 Tech**: Designed a machine-learning recommendation engine that increased user engagement and retention.
- **AJNA Sports AI at SoftConstruct**: Led development of an AI-powered sports tracking system that stitched two 8K camera feeds into panoramic video and used computer vision to analyse ball speed, player density and movement.
- **YAML DAG Factory at GR8 Tech**: Created a YAML-driven DAG factory enabling data scientists to author Airflow pipelines without writing code.

## Speaking & Collaboration

Maksym is available as a conference speaker on topics including RAG system architecture, MLOps best practices, data platform design, AI engineering leadership and building AI teams. For speaking enquiries, reach out via email or LinkedIn.

## Skills

Python, Go, Bash, FastAPI, Flask, AWS, GCP, Kubernetes, Helm, Terraform, Docker, Kafka, Airflow, Kubeflow, MLFlow, DVC, PyTorch, LangChain, LlamaIndex, Redis, Elasticsearch, Prometheus.

## Links

- Site: https://mxvtk.dev
- About: https://mxvtk.dev/about/
- Blog: https://mxvtk.dev/blog/
- Timeline: https://mxvtk.dev/timeline/
- Resume: https://mxvtk.dev/resume/
- RSS: https://mxvtk.dev/rss.xml
- LinkedIn: https://linkedin.com/in/mvoitko
- GitHub: https://github.com/mvoitko
- StackOverflow: https://stackoverflow.com/users/5592286/max-voitko
- X: https://x.com/mxvtk1
- Threads: https://www.threads.com/@m_voitko
- Instagram: https://instagram.com/@m_voitko
- Telegram: https://t.me/forgottendatashadows
- Email: max.voitko@gmail.com
- Full LLM context: https://mxvtk.dev/llms-full.txt