Senior AI & Data Architect helping organisations deliver R&D, prototypes, MVPs, and large-scale production systems that are secure and reliable.
You get architectures grounded in computer-science fundamentals, proven in production, and designed for what actually matters: performance, security, explainability, and cost. I work with teams where AI must deliver measurable value and where systems must be trustworthy—explainable, resilient, monitored, and engineered for real-world conditions. My approach blends rapid prototyping with production-grade rigor so you can move fast without accumulating technical risk.
PhD in Computer Science, 2015
University of Fribourg -- Switzerland
MSc in Computer Science, 2010
University of Lodz - Poland
MSc in Computer Science, 2009
Université Claude Bernard (Lyon I) - France
BSc in Computer Science, 2006
WIT under the auspices of Polish Academy of Sciences
End-to-end AI and data solutions that drive measurable results
Clear roadmaps, feasibility analysis, and decision frameworks for high-impact AI initiatives.
Designing architectures with provenance, access controls, and performance tuned for real-world use.
Event-driven systems, scalable pipelines, and multi-tenant platforms built for reliability and compliance.
Turning R&D concepts and MVPs into secure, observable, scalable production systems.
Hands-on guidance, architecture reviews, and mentorship for engineering and research teams.
Deep technical exploration and algorithmic development backed by academic rigor and 20+ years of experience.
Architecture for LLM and RAG systems where correctness, security, and reliability matter.
From retrieval pipelines with provenance to enterprise-grade access controls, I design systems that can be audited, monitored, and trusted.
Taking prototypes and MVPs to stable, scalable production systems.
I turn demos into real platforms—optimized, containerized, observable, and ready to serve thousands of users or large data volumes.
Technical due diligence for AI-related initiatives.
Helping founders, CTOs, and product teams validate feasibility, identify architectural risks, and avoid decisions that lead to months of rework.
Distributed data platforms that handle sensitive or regulated data.
Event-driven systems, streaming pipelines, and multi-tenant architectures that meet performance, security, and compliance requirements.
Rescuing complex AI/ML projects that are stuck, unreliable, or scaling poorly.
Diagnosing bottlenecks, simplifying architectures, and getting systems back on track.
Algorithmic systems where performance has measurable business impact.
Trading strategy optimization, RL-driven decision systems, and high-throughput pipelines where milliseconds or accuracy matter.
Full-Scope Consulting Engagement
End-to-end support: from R&D exploration to full system design and deployment.
Strategy + architecture + hands-on execution.
For high-impact projects where reliability and correctness are critical.
Prototype → Production Accelerator
Hands-on guidance to take an early concept, POC, or MVP and turn it into a secure, reliable, scalable production system.
Perfect for startups and product teams moving fast but needing senior oversight.
Fractional AI & Data Architect (1–2 days per week)
Ongoing strategic and technical leadership without hiring a full-time architect.
Architecture, reviews, implementation guidance, and team mentorship.
Best for teams with ongoing AI or data initiatives.
Architecture Review & Roadmap (Short Engagement)
A deep technical assessment of your current system, prototype, or idea — with clear recommendations, risk analysis, and a step-by-step path to production.
Ideal for teams that need clarity before investing further.
Executive & CTO Advisory
High-level guidance on AI strategy, technical direction, vendor/security evaluation, and long-term architectural decisions.
Ideal for organisations making significant AI investments.
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