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Iraklis Chatzinikolaou

@iraklischatzinikolao

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I build production mobile apps, AI utilities, RAG systems, and reliable backend services.

Greece

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What I'm looking for

I'm looking to build reliable AI and mobile products end to end, from user flows and backend architecture to LLM workflows, testing, deployment, and production debugging.

I build and ship production-facing mobile and AI products, including AEO, Guinea Pig Translator, and MyEsim GR for Apple and Google Play.

My work spans Expo and React Native mobile flows, Firebase and Supabase backends, authentication, purchases, subscriptions, referrals, deep links, remote configuration, and cloud deployment.

I’ve also delivered full-stack AI applications with FastAPI, Flask, React, OpenAI, and LangChain, from RAG document chat and vector search to tool-using agents, structured outputs, citations, and observability workflows.

Before product engineering, I automated forecasting and reporting in Python at Kataskevi ATE and worked on scattering amplitudes and Feynman integrals at Demokritos–NCSR. My mathematical physics background shapes how I approach verification, reproducibility, and dependable technical products.

Experience

Work history, roles, and key accomplishments

Current

AI & Mobile Product Developer

Current

AI Agency / Independent Product Work

Jan 2026 - Present (8 months)

Built and shipped production-facing AI and mobile products using Expo/React Native, Firebase, Supabase, REST APIs, and modern cloud deployment platforms. Developed mobile app flows for authentication, purchases, subscriptions, referrals/coupons, remote configuration, app links/deep links, and App Store / Google Play distribution.

Data Scientist / Physicist / Analyst

Kataskevi ATE

Jan 2025 - Jan 2026 (1 year)

Automated data collection, reporting, and forecasting in Python to support project planning and resource allocation. Applied statistical modeling for risk assessment and demand estimation; collaborated with engineers to translate specifications into simulatable models.

Python Data Collection Reporting Forecasting Statistical Modeling Risk Assessment Demand Estimation Collaboration Version Control Run Logs Technical Documentation

Freelancer (AI/LLM & Python)

Online Platforms

Jan 2022 - Jan 2024 (2 years)

Delivered full-stack AI apps using Flask, FastAPI, React, OpenAI, and LangChain, including RAG pipelines, search/scraping tools, and structured outputs. Implemented prompt patterns, tool-using agents, fallbacks, guardrails, and observability workflows with LangSmith.

Academic Collaborator

Demokritos - NCSR

Jan 2021 - Jan 2022 (1 year)

Worked with Dr. C. Papadopoulos on modern scattering-amplitude techniques, including spinor-helicity, generalized unitarity, and integrand-level (OPP) reduction for one-loop amplitudes. Applied IBP identities and differential-equation methods to one- and two-loop Feynman integrals; reconstructed canonical (epsilon-factorized) systems following Henn's framework.