Márton Menyhért

The Hague, The Netherlands
LinkedIn

Summary

Freelance AI Engineer with expertise in machine learning, LLMs, and data-driven applications. Experienced in building applied AI systems, including chatbots, email classification filters, and agenda generators using embeddings, few-shot learning, and agentic frameworks (LangChain, MCP, LangGraph). Published research on population-scale social networks in a leading data science journal and presented findings at an international conference. Skilled in Python, deep learning, NLP, and statistical modeling, with a strong background in both academic research and industry applications.

Key Achievements

• Built and deployed data analytics solutions for a Dutch startup, including interactive dashboards and cohort retention analysis.
• Published research on population-scale social networks in a peer-reviewed data science journal.
• Presented research findings at the Sunbelt International Conference, engaging both academic and professional audiences.
• Initiated and developed LLM-based freelance projects, including a personal knowledge chatbot and an AI-powered email categorization/filtering system.

Professional Experience

Freelance AI Engineer

Blue Bean Data | August 2025 – Present | The Hague, NL
- Collaborating on applied LLM and agentic AI projects, exploring frameworks such as OpenAI, LangChain, MCP, and LangGraph.
- Developing a personalised chatbot capable of answering questions about my background.
- Building an email filtering system that classifies and categorises emails using embeddings and few-shot learning.
- Prototyping a tool that generates To-Do lists and agendas from past email conversations.

Data Analyst, Development, Dev Support

Turff | April 2025 – August 2025 | Rotterdam, NL
- Frontend, backend jobs.
- Identified a key drop-off point in the user funnel that significantly impacted retention.
- Built internal dashboards (Python, SQL, Streamlit, Vue.js) to track user interaction, retention.
- Designed KPIs for user retention and prototyped flexible activity definitions.
- Analyzed user behavior to support data-driven decision-making.

Math Analyst

Gaming Labs International | November 2024 – February 2025 | Haarlem, NL
- Analyze reels and poker game outcomes to ensure compliance with regulations.
- Validate Return-to-Player (RTP) scores using statistical analysis and confidence intervals.
- Conduct theoretical assessments to confirm market readiness of games.
- Utilize proprietary tools to generate reports, ensuring jurisdictional standards.
- Implemented automatization to streamline analysis workflows.
- Understood and worked with C++, Java, JS and Python code bases for analyzing games.

Research Assistant - POPNET, Network Science

Leiden University | September 2023 – June 2024 | Leiden, NL
- Co-authored Connectivity and Community Structure of Online and Register-based Social Networks.
- Presented findings at the Sunbelt Conference, Edinburgh, June 2024.
- Performed large-scale data analysis and developed models to interpret network metrics.
- Created visualizations and reports to derive actionable insights.

Data Scientist Intern

Ericsson Ltd. | September 2023 – June 2024 | Budapest, HU
- Designed and evaluated machine learning models, including Decision Trees and XGBoost.
- Preprocessed datasets and tested models for production deployment.

Full Stack Developer

Wozavez | February 2021 – June 2021 | Budapest, HU
- Developed front-end and back-end systems, including REST APIs and SQL scripts.
- Built dynamic dashboards for real-time data insights.

Data Scientist Intern

Ericsson Ltd. | Aug 2020 – Jan 2021
- Designed and evaluated machine learning models, including Decision Trees and XGBoost.
- Preprocessed datasets and tested models for production deployment.

Sound Illustration Developer

Alfréd Rényi Institute of Mathematics | June 2022 – March 2023
- Created sound illustrations for the educational book A számok rejtett építőkövei – A prímek.

Computer Engineer Intern

Foton Ltd. | Oct 2019
- Configured actuators for automated chemical fume hood systems.

Education

MSc in Computer Science: Data Science

Leiden University | September 2021 – June 2023 | Leiden, NL
- Thesis: Social Connectedness of Geographical Areas in a Population-scale Network.
- Coursework: Deep Learning, Data Mining, Social Network Analysis, Text Mining, Reinforcement Learning.

BSc in Computer Science Engineering

Pázmány Péter Catholic University | September 2017 – January 2021 | Budapest, HU
- Thesis: Estimating the Resolution of Online Video Streams Over Secure Channels (Ericsson Ltd.).
- Coursework: Data Structures, Algorithms, AI, Programming in Java, Probability, and Statistics.

Tech Stack

Languages & Frameworks: Python (NumPy, pandas, scikit-learn, TensorFlow, PyTorch, Keras), SQL, JavaScript (Vue.js), Java

LLMs & AI Tools: OpenAI API, LangChain, MCP, LangGraph, Hugging Face, Streamlit

Machine Learning: Deep Learning (CNNs, RNNs, Transformers), Recommender Systems, Reinforcement Learning (Q-learning, DQNs), Ensemble Methods (XGBoost, LightGBM), NLP (TF-IDF, embeddings, NER, sentiment analysis)

Data & Analytics: Cohort/retention analysis, statistical modeling (Bayesian, regression, time series), graph/network analysis (NetworkX, Gephi)

Software & DevOps: REST APIs, Git, Docker, Flask, Django, SQL databases

Other Skills: Data visualization (matplotlib, seaborn), algorithm design, technical writing, presentation

Languages: Hungarian (Native), English (Proficient), Dutch (Intermediate)