AI Implementation · Architecture & Software Delivery · Data & Governance
I put AI into productionand make it trustworthy.
Software engineer and solution architect, 7 years writing production software across healthcare, data, gaming and more. I co-author the frameworks we use to roll AI into large, regulated companies, and I lead the work that gets them shipped.
I sit between the code and the decision.
I started as a backend developer and grew into the person who owns how AI actually lands inside a big company: the architecture, the data, the way a team works around it, and the trust that lets leadership say yes. I still write production Python, TypeScript and .NET; I just also shape the decisions around them.
At Holisticon I co-authored two frameworks that make AI adoption structured and testable, and I help large companies in regulated, data-heavy industries put them to work. A Master’s in Management on top of Computer Science is what lets me run a delivery and talk to a board in the same week.
- Engineer
- Production Python, TypeScript and .NET across cloud, data and AI.
- Architect
- I design how AI systems are built, governed and trusted, then lead delivery.
- Researcher
- IEEE-published; I turn messy AI problems into shareable structure.
Two frameworks. One idea: AI you can trust.
I co-authored two frameworks that shape how AI gets built and adopted, and I put them to work with Holisticon inside large companies.
AI Validation Framework
Testable. Validatable. Trustworthy.
CO-AUTHORED · HOLISTICONA pragmatic system that makes any AI implementation testable and validatable, raising data quality so that results can actually be trusted and relied on in production.
AI-First Framework
AI as part of the team, not just a tool.
CO-AUTHORED · HOLISTICONA model for how IT teams operate when AI is a first-class actor in the process, redefining roles, governance and the way work is delivered end to end.
※ Both frameworks are developed at and owned by Holisticon. Shown here as authorship, not disclosure.
AI, deployed where it matters.
With Holisticon I implement AI systems inside large companies across medical, data-analytics and beyond. The specifics stay confidential; the approach stays constant: governed, validated, trustworthy.
🔒 CLIENT DETAILS UNDER NDA.
Medical & Pharma
GenAI tooling and data-validation pipelines for a global medical company.
Data & Analytics
AI agents and validation layers for data-critical, high-stakes workflows.
Enterprise IT teams
Rolling out the AI-First way of working at organizational scale.
What I’m building right now.
Beyond client work, I’m building and co-building a few things of my own.
Parcela
FOUNDER · BUILDINGLAUNCH · AUG 2026A platform for searching and comparing real-estate information, pulling scattered property data into one place so you can compare and decide faster.
WANT TO TEST IT? LET ME KNOW ↗DocCompan
CO-FOUNDER · CTOA document-automation platform: build advanced data and document pipelines visually from modular AI blocks. Each block does one deterministic job (extract, split, analyze, report), and AI models slot in where they help, so processes stay composable and explainable. No-code, with a community block marketplace and on-premise scaling for enterprise.
DOCCOMPAN.IO ↗Aether
RESEARCH · POCDUAL-USEA research project turning WiFi sensing into a product: reading wireless signals to map spaces, build heatmaps and track moving objects. Dual-use by design: civilian and defense. Early stage, first proof of concept, built with people from Poland’s Military University of Technology (WAT).
AI Implementation Lead · Solution Architect · Full-Stack Developer
I lead how AI systems are designed, governed and rolled out inside large enterprises, and I co-author two internal frameworks that make AI adoption testable and trustworthy. Hands-on for a global medical client, I build across a Django and React stack with AI-agent tooling: retrieval-augmented generation over vector databases, LLM orchestration, and automated validation harnesses that keep GenAI data pipelines governed and auditable in a regulated pharma setting. I own the architecture, set up the evaluation and CI/CD around the models, and shared the approach in a research paper and an industry talk on data validation for GenAI.
Solution Architecture · Technical Leadership · Full-Stack · AI Frameworks · AI Agents · RAG · Vector DBs · LLM Orchestration · Django · React · GenAI
Full-Stack Developer · Gaming AI & Tools
Interactive web apps and AI-powered internal tools for mid-core RPGs. I build modular React and TypeScript interfaces backed by .NET and Blazor services, with real-time features over WebSocket and Python REST APIs, all containerized with Docker. The work spans live-ops dashboards, game-data tooling and AI-assisted content workflows that speed up the studio pipeline.
React · TypeScript · JavaScript · .NET · Blazor · Python · WebSocket · Docker · AI Tools
Python / Full-Stack Developer
Built and maintained Flask microservices with Vue.js front ends for healthcare data products. I designed large-scale ETL pipelines in PySpark, tuned query and service performance over high-volume datasets, and stood up end-to-end test automation with Selenium and Cypress across cloud infrastructure, keeping releases reliable in a strict, compliance-heavy environment.
Flask · Vue.js · PySpark · ETL · Selenium · Cypress · AWS
Python Developer
Delivered Django, Flask and REST back ends with React front ends on PostgreSQL for a range of client products. I worked on ElasticSearch-powered search, large-scale data operations and clean API design, ran code reviews, and shipped everything in Dockerized environments with a strong automated-testing culture.
Django · Flask · React · ElasticSearch · PostgreSQL · Docker
Web Engineer
Built Python REST APIs and third-party system integrations, and developed e-commerce sites with JavaScript. The work covered payment and logistics integrations, data automation and the everyday features that keep online stores running smoothly.
Python · REST API · JavaScript · E-commerce
Software Developer
Contract software for diverse clients: secure, scalable systems in Python and JavaScript on AWS. Over the years I have shipped web apps, automation and scraping pipelines, API integrations and dashboards, owning each project end to end from first brief to deployment.
Python · Django · JavaScript · AWS
Formalizing how AI is trusted.
IEEE-published researcher in AI incident data sharing and governance. I take messy, real-world AI problems and turn them into structured, shareable knowledge.
Integrating AIAAIC incident data into the MISP platform to improve AI incident sharing. Presented at the IEEE Cyber Research Conference, Ireland.
READ ON IEEE ↗Data Validation for GenAI in Pharma
A practical framework for data validation in GenAI pharma applications: governance, ML integration and validation agents. AI & Life Sciences Meetup, Stockholm.
Extracting and structuring AI incidents from the AIAAIC database for integration into the MISP threat-sharing platform.
Celery as a distributed task queue, practical async execution patterns. Published in IT Professional.
Infrastructure as code and hands-on cloud provisioning. Published in IT Professional.
Master’s in Management
Kozminski University
Business strategy, leadership and organizational management, the side that complements engineering when AI meets a real business.
Honours BSc, Computer Science
University College Dublin
Data Science, web programming and Python, with research in AI, cybersecurity and analytics.
/ Certifications & Training
PMI · AI Project Management (CPMAI)
IN PROGRESSCertification in delivering AI projects with the CPMAI methodology.
PMI ↗CISCO CCNA & IT Essentials
Networking, security and IT infrastructure fundamentals.
Data Analysis in Python
ALX.pl: analytics, large datasets, statistics and visualization.
Advanced Microsoft Tools
Power BI and Azure training during an internship at Microsoft Poland.
Front-End Development
Akademia 108: HTML, CSS, JavaScript and responsive design.
Google Code-in 2017
Global open-source coding contest and community collaboration.
Marcel is an excellent software engineer and team member. He picks up new skills quickly and applies them. He can work individually or collaboratively — I can highly recommend him for any software engineering role. Excellent Python, CI/CD, Cloud and Vue skills.
Marcel is extremely good at dealing with ambiguity, quickly providing working code to discuss and iterate on. With stricter requirements he ensures the code is well tested. I highly recommend working with Marcel — problem solving, fast learning and clear communication with engineers and stakeholders.
Working with Marcel on “Recycle.it” and other projects was a fantastic experience. His expertise in Python and web development was key to our success, and his innovative solutions and leadership were invaluable. Highly recommended.
Let’s build AI worth trusting.
For AI implementation, architecture, or simply a conversation about doing AI properly, reach out.
⌖ Warsaw · Remote