Career & Skills

With 6+ years of experience in AI and software development, I combine academic research with practical engineering to build innovative solutions.

Work Experience

AI Research Scientist

RWTH Aachen University • Chair for Artificial Intelligence Methodology (AIM)

April 2023 – Present

Aachen, Germany

  • Researching AutoAI in Time Series Analysis
  • Supervising bachelor's and master's theses
  • Assisting in teaching activities

AI Research Scientist

Telekom Innovation Laboratories (T-Labs)

September 2021 – February 2023

Budapest, Hungary

  • Researched time series topics, focusing on anomaly detection
  • Developed anomaly detection techniques for Content Delivery Networks (CDNs) using system KPIs

University Instructor

Eötvös Loránd University

September 2021 – January 2023

Budapest, Hungary

  • Supervised 4 lab projects and master's theses
  • Conducted practical sessions for a university subject
  • Assisted in the creation and evaluation of exams and assignments

Machine Learning Operations Engineer (MLOps)

WebPredict

October 2021 – October 2022

Budapest, Hungary

  • Designed and trained 50+ Deep Learning and Machine Learning models for text classification (NLP) in local and political news
  • Designed and deployed 50+ pipelines for various data types
  • Conducted data analysis for 40+ datasets, including structured and unstructured data
  • Performed data cleaning and preprocessing for 40+ text datasets

Information Technology Operations Engineer (ITOps)

WebPredict

June 2021 – September 2021

Budapest, Hungary

  • Developed 100+ scrapers for data from online sources using Scrapy and BeautifulSoup, extracting information from 500+ websites
  • Set up 100+ machine learning models' configuration files, optimizing them for better performance
  • Managed and maintained the configurations of scraper classes

AI Research Scientist

Eötvös Loránd University • Data Science and Engineering Department (DSED)

February 2020 – January 2021

Budapest, Hungary

  • Implemented an automated clustering-based meta-feature extraction framework
  • Researched and implemented anomaly detection methods for beehive sound data

AI Research Scientist

Eötvös Loránd University • Neural Information Processing Group (NIPG), Department of Artificial Intelligence

October 2020 – December 2020

Budapest, Hungary

  • Compressed and compiled a facial expression estimation model to work on the Coral USB Accelerator
  • Results: a 33 times faster and 52.35% smaller EdgeTPU-compatible facial expression estimation model

Software Engineer Intern

TOPDesk

July 2020 – August 2020

Budapest, Hungary

  • Collaborated with a team of interns to develop a fully functional web application for scheduling shower reservations
  • Technologies used: Java Spring, Vue.js, and Bulma

Education

Doctor of Natural Sciences (Dr. rer. nat.)

Computer Science • Artificial Intelligence (AI)

April 2023 – Present

RWTH Aachen University, Aachen, Germany

Doctor of Natural Sciences (Dr. rer. nat.) in Computer Science, with a research focus in Artificial Intelligence (AI). The Dr. rer. nat. is a German doctoral degree equivalent to a Ph.D.

Master of Science (M.Sc.)

Computer Science • Artificial Intelligence (AI)

Eötvös Loránd University, Budapest, Hungary

Thesis: Anomaly Detection in Beehive Sounds

Developed a non-intrusive beehive monitoring system using LSTM Autoencoder to detect and classify anomalies in audio data, aiding in better hive management and promoting bee health.

View Thesis

Awards & Scholarships

SCYP Scholarship

A fully funded, merit-based, two-year scholarship from the Government of Hungary to pursue a master's degree in Artificial Intelligence at Eötvös Loránd University, Budapest, Hungary.

Bachelor of Science (B.Sc.)

Informatics • Software Engineering & Information Systems

Latakia University (formerly, Tishreen University), Latakia, Syria

Thesis: RemoKEY

An Android application equipped with a keyboard and additional tools, enabling seamless control of a computer via Bluetooth connectivity.

Certificates & Professional Development

Generative Adversarial Networks (GANs)

DeepLearning.AI on Coursera

April 2022

View Certificate

Natural Language Processing (NLP)

DeepLearning.AI on Coursera

August 2021

View Certificate

Skills

Technical Domains

Artificial Intelligence

Time Series Analysis

AutoAI/AutoML

Machine Learning

Deep Learning

Data Science

Statistics

Data Structures

Database Design

System Analysis

Software Engineering

Web Development

Technologies & Tools

Python

Rust

C++

JavaScript

TypeScript

SQL

Git

LaTeX

Bash

Docker

Frameworks & Libraries

PyTorch

Lightning

TensorFlow

Keras

Scikit-Learn

Pandas

NumPy

Matplotlib

Seaborn

BeautifulSoup

Scrapy

React

Next.js

Tailwind CSS

Django

Languages

English

Full proficiency

German

Professional working proficiency (CEFR B2-C1)

Hungarian

Elementary proficiency

Selected Projects

Proportions Controlling Genetic Algorithm (PCGA)

research

A general-purpose Genetic Algorithm (GA) to control the proportions of labels in a set of containers. The algorithm is designed to select a specified number of containers from a larger set, ensuring that the resulting proportions of labels in the selected containers are as close as possible to the desired proportions.

View on GitHub

The AI Frontier Podcast

community

I launched this podcast to contribute to the AI community by sharing valuable insights about the future of artificial intelligence.

View Project

Aachen in English for Expats Website

website

Co-founded and led the technical development of a digital platform tailored for English-speaking expatriates in Aachen. The website provides essential resources on housing, healthcare, education, and community integration, helping newcomers navigate local life and bridge cultural gaps through accessible, user-friendly content.

View Project