Computer Science graduate building enterprise-grade AI solutions - from RAG systems to intelligent chatbots. With 6+ years of corporate experience, I understand the real problems that AI is best positioned to solve.
I'm a Computer Science graduate from Greece, currently based in Kraków, Poland. My passion is Artificial Intelligence - specifically building practical AI tools that solve real business problems.
I spent 6+ years working at major multinationals like Accenture, Infosys, and HEINEKEN, where I gained deep understanding of how large enterprises operate - the processes, the pain points, and the communication dynamics that make or break projects.
That corporate experience gave me something most AI builders don't have: I know what the actual problems look like from the inside. Now I'm combining that real-world understanding with hands-on AI development - building RAG systems, chatbots, and automation tools inspired by the problems I've seen firsthand.

Before building AI tools, I spent six years inside three multinationals - watching how large organizations actually operate. That context is the difference between AI that looks good in a demo and AI that survives a production rollout.
Moved into tech-focused change management - guiding how enterprise teams adopt new systems and ways of working. The bridge between six years of operational experience and the AI tools I'm now building.
Subject-matter expert on a pharmaceutical client's credit & collections operation - $50M+ recovered across 250+ clients. Three consecutive Excellence Awards (2023, 2024, 2025). The day-to-day that exposed every inefficiency an LLM could solve.
Credit & collections for a global shipping and maritime client. Wrote the SOP documentation that powered the transition of operations from Greece to Poland - my first real taste of large-scale process design.
Managed a 240+ customer portfolio in order-to-cash for one of the world's largest brewers. First corporate role after university - where I learned how Finance and Operations actually run inside a multinational.
This site itself plus three live AI tools, each demonstrating a different aspect of modern AI engineering: retrieval-augmented generation, schema-validated tool use, and agentic orchestration over analytical functions.
Portfolio built through AI-assisted development - custom canvas starfield, scroll-linked aurora, responsive layout, deployed on Vercel with GitHub CI.
Read the build log →RAG-powered chatbot for Order-to-Cash policy questions - invoicing, collections, and dispute resolution - with source citations.
Reconciles a custodian feed against an internal book of record. Rule-based code identifies the breaks; Claude explains each one in plain English with auditable citations.
Ask plain-English questions about a synthetic accounts receivable portfolio. Claude orchestrates a sequence of vetted analytical functions and answers with cited data and inline charts.
A growing AI toolkit backed by a Computer Science degree and hands-on project experience.
Building applications with LLMs - prompt engineering, system design, and API integrations.
Building retrieval-augmented generation pipelines - embedding documents, vector storage, and context-aware retrieval.
Designing AI agents that can reason, use tools, and execute multi-step workflows autonomously.
Building and deploying web applications using modern frameworks and hosting platforms.
Using AI as a development partner - turning ideas into working software through AI collaboration.
Formal education in Computer Science, complemented by targeted AI certifications from industry leaders.
University of Macedonia, Thessaloniki, Greece
BA School of Business & Finance, Riga, Latvia
Cisco - 2026
Cisco - 2026
Accenture - 2026
Harvard University - 2023