Hello, I'm

Vince Németh

AI Engineer & Data Scientist

I ship AI systems — from research prototype to production. My work spans deep learning, computer vision, robotics, NLP, and full-stack ML engineering, built for real clients and real constraints.

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About Me

I am an Applied Data Science & AI student at Breda University of Applied Sciences with a strong footprint in professional software engineering. Beyond coursework, I actively consult for industry clients — building an AI-assisted documentation system for Tobroco-Giant and autonomous phenotyping pipelines for NPEC.

My expertise lies in full-stack AI development: from training custom Transformer models and deploying computer vision on edge devices, to orchestrating self-hosted infrastructure. I don't just analyse data; I build the pipelines that make it actionable.

Experience

Freelance Engineer · Junior Dev (Valeo) · SQA Assistant (Valeo)

Languages

English (Fluent/C2) · Hungarian (Native) · French (Intermediate)

Interests

Homelabs (TrueNAS/Docker) · Game Dev (Godot) · Open Source Tools

Technical Stack

Core & Backend

  • Python
  • FastAPI
  • PostgreSQL
  • SQL
  • PySide6 (Qt)

AI & Deep Learning

  • PyTorch / TensorFlow
  • Transformers (RoBERTa)
  • Computer Vision (ResUNet)
  • RAG / ChromaDB
  • MediaPipe
  • LSTM / Time Series

Robotics & Control

  • Opentrons (OT-2)
  • PID Control Systems
  • Reinforcement Learning
  • Hardware Integration

DevOps & Infrastructure

  • Docker
  • Traefik Reverse Proxy
  • Linux / Bash
  • Git / CI/CD
  • Self-Hosting

Academic Journey

BSc Applied Data Science & AI at Breda University of Applied Sciences

Foundation Year 2024-2025

Building core competencies in data science fundamentals, programming, and machine learning basics.

Block A 15 ECTS

Introduction to Data Science

  • Introduction to AI & Data Science
  • Data Visualisation with Power BI
  • Introduction to Programming in Python
  • Mathematics Foundations
Project: SDG Sustainable Mobility Dashboard

Interactive dashboard assessing plug-in hybrids and hybrids as sustainable alternatives to combustion vehicles, focusing on SDGs 11 & 13.

Block B 15 ECTS

Machine Learning

  • Data Analysis with Python
  • ML Algorithm Fundamentals
  • Calculus & Linear Algebra
  • Introduction to SQL
Project: Diabetes Patient Outcome Prediction

ML system predicting hospital stay duration and patient readmission risk, combined with clustering analysis to group patients by key clinical features.

Block C 15 ECTS

Deep Learning

  • Introduction to Deep Learning
  • Responsible & Explainable AI
  • Human-Centered AI Design
  • Image Classification
Project: Automated Vehicle Damage Classifier

Deep learning image classifier for automated car damage assessment, detecting cracks and dents with potential to expand to scratches, broken glass, flat tyres, and lamp damage.

Block D 15 ECTS

Data Science Lifecycle

  • Agile Project Management
  • Time Series Analysis
  • Data Engineering Pipelines
  • Stakeholder Management
Project: Digital Advisor — AI Stock Forecasting

AI-powered predictive system for real-time stock movement forecasts using LSTM models, backed by PostgreSQL and served through a FastAPI dashboard.

Specialisation Year 2025-2026

Advanced techniques in NLP, computer vision, robotics, and research methodology.

Block A 15 ECTS

Natural Language Processing

  • Speech-to-Text Systems
  • Machine Translation
  • Text Classification
  • Transformer Models
  • Prompt Engineering & Fine-Tuning
Project: Hungarian Video Emotion Pipeline

End-to-end NLP pipeline processing Hungarian YouTube videos through audio extraction, speech-to-text (AssemblyAI), translation (Helsinki-NLP OPUS-MT), and 7-class emotion classification using fine-tuned RoBERTa.

Block B 15 ECTS

Computer Vision & Robotics

  • Traditional Computer Vision
  • Object Detection & Segmentation
  • PID & RL Control Systems
  • Opentrons OT-2 Robotics
  • Reinforcement Learning
Project: NPEC Autonomous Plant Phenotyping

Autonomous pipeline for the Hades robotic system; Deep ResUNet root segmentation, PID and RL controllers for the Opentrons OT-2, integrated into a complete system that detects root tips and performs precise inoculation.

Block C 15 ECTS

Research Methodology

  • Analytical & Scientific Thinking
  • Research Communication
  • Methodological Rigour
  • Technical Competence
  • Collaboration & Research Practice
Project: Coming Soon

Quantitative research study building on CV/Robotics or NLP block challenges; designing proposals, testing methods against baselines, and communicating findings scientifically.

Block D 15 ECTS

Deploying ML Solutions

  • Advanced Programming
  • MLOps Frameworks
  • MLOps Tools
  • Cloud Computing
Project: Coming Soon

Professional Year 2026-2027

Specialisation projects, internship, and preparation for industry or master's programmes.

Semester 5 30 ECTS

Specialisation Project

Role specialisation and consultancy skills development through an extended industry project.

Semester 6 30 ECTS

Internship / Exchange

Choose from: Specialisation Project 2, Work Placement, or Exchange Abroad.

Featured Projects

Real-world projects completed for industry clients alongside academic work

Featured

Tobroco Engineering Assistant

Tobroco-Giant

AI-powered documentation system with semantic search, RAG pipeline, and assisted authoring for engineering manuals.

  • Python
  • FastAPI
  • ChromaDB
  • RAG
Featured

NPEC Plant Phenotyping

Netherlands Plant Eco-phenotyping Centre

Automated high-throughput phenotyping using Deep ResUNet for Arabidopsis root segmentation in the Hades robotic system.

  • Python
  • Deep Learning
  • Computer Vision
  • Robotics

Latent Space: Through the Eyes of the Algorithm

studio KASBOEK

Interactive art installation that transforms human gaze into AI-interpreted artwork. Eye movements tracked via MediaPipe, rendered as abstract strokes, classified with ResNet50, and interpreted through custom LLM prompts generating psychoanalytical readings, culminating in a thermal print keepsake.

  • Python
  • MediaPipe
  • ResNet50
  • LLM
  • Computer Vision

Industry Experience

Freelance Software Engineer

Independent

Development of professional-grade tools and open-source software.

  • CineSlice — Desktop video frame extractor with multi-threaded FFmpeg pipeline (Python, PySide6)
  • Infrastructure Monitor — Self-hosted alerting system with Docker, Traefik, and SEO validation

Junior Software Developer

Valeo

Developed custom applications for engineering teams to improve testing and data analysis. Built tools to analyse large volumes of test data (1M+ records across 100+ product SKUs) with automated anomaly detection, trend analysis, visualisation, reporting, and documentation. Created a Cpk analysis app, used by 2 engineering teams, for process capability evaluation, replacing manual spreadsheet workflows for production-line evaluation. And contributed to project feasibility and digitisation strategy.

Supplier Quality Assurance Assistant

Valeo

Supported 3 supplier audits and process data analysis. Gained insight into quality control logic used in industrial automation.

Personal Projects

2D Strategy Game

Godot Engine (GDScript)

Turn-based strategy with procedural map generation and AI opponents.

Data Science Library

Pandas-clone in pure Python

From-scratch DataFrame implementation for understanding internals.

TrueNAS Server

Storage infrastructure

ZFS-backed NAS with Docker services and automated backups.

Let's Connect

Ready to build the next generation of intelligent software.

LinkedIn Connect with me GitHub View my code Inquiry Send me a message

You can also download my CV.