Research Assistant
RWTH Chair for AI Methodology (AIM)
Apr 2023 – Present
Aachen, Germany
Apr 2023 – Present
- Researching AutoAI in Time Series Analysis
- Supervising bachelor's and master's theses
- Assisting in teaching activities
Career & Skills
With 4+ years of experience in AI and software development, I combine academic research with practical engineering to build innovative solutions.
Experience
Research & Academia
Research Assistant
Telekom Innovation Laboratories (T-Labs)
Sep 2021 – Feb 2023
Budapest, Hungary
Sep 2021 – Feb 2023
- Researched time series topics, focusing on anomaly detection
- Developed anomaly detection techniques for Content Delivery Networks (CDNs) using system KPIs
- Authored and published research papers in the field of anomaly detection
Teacher Assistant
Eötvös Loránd University
Sep 2021 – Jan 2023
Budapest, Hungary
Sep 2021 – Jan 2023
- Supervised lab projects and master's theses
- Conducted practical sessions for university subjects
- Assisted in the creation and evaluation of exams and assignments
Research Assistant
Eötvös Loránd University - DSED • Data Science and Engineering Department
Feb 2020 – Jan 2021
Budapest, Hungary
Feb 2020 – Jan 2021
- Research Assistant at Data Science and Engineering Department (DSED), Faculty of Informatics (IK), Part of Human Resources Development Operational Program
- Implemented an automatized clustering-based meta-features extraction framework
- Researched and implemented Anomaly Detection methods for beehive sound data
Program: Emberi Erőforrás Fejlesztési Operatív Program (EFOP)
Research Fellow
Eötvös Loránd University - AI Department • Neural Information Processing Group (NIPG)
Oct 2020 – Dec 2020
Budapest, Hungary
Oct 2020 – Dec 2020
- Artificial Intelligence Research Fellow at Neural Information Processing Group (NIPG), Department of Artificial Intelligence
- Compressed and compiled a facial expression estimation model to work on Coral USB Accelerator
- Results: a 33 times faster and 52.35% smaller Edge TPU compatible facial expression estimation model
Industry
Machine Learning Operations Engineer (MLOps)
WebPredict
Oct 2021 – Oct 2022
Budapest, Hungary
Oct 2021 – Oct 2022
- 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
Jun 2021 – Sep 2021
Budapest, Hungary
Jun 2021 – Sep 2021
- Developed 100+ scrapers for data from online sources using Scrapy and BeautifulSoup
- Set up 100+ machine learning models' configuration files
- Managed and maintained the configurations of scraper classes
Software Engineer Intern
TOPDesk
Jul 2020 – Aug 2020
Budapest, Hungary
Jul 2020 – Aug 2020
- 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)
Apr 2023 – Present
RWTH Aachen University, Aachen, Germany
Apr 2023 – Present
Currently pursuing doctoral research in AutoML and Time Series Analysis
Master of Science (M.Sc.)
Computer Science • Artificial Intelligence (AI)
Sep 2019 – Jul 2021
Eötvös Loránd University, Budapest, Hungary
Sep 2019 – Jul 2021
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 ThesisAwards & Scholarships
SCYP Scholarship
A fully-funded two-year scholarship from the Government of Hungary to pursue a Master's degree in Artificial Intelligence
Bachelor of Science (B.Sc.)
Informatics Engineering • Software Engineering
Oct 2012 – Mar 2018
Latakia University (formerly, Tishreen University), Latakia, Syria
Oct 2012 – Mar 2018
Thesis: RemoKEY
An Android application equipped with a keyboard and additional tools, enabling seamless control of a computer via Bluetooth connectivity.
Certificates & Professional Development
Data Engineering Professional Certificate
DeepLearning.AI on Coursera
In Progress
Skills & Languages
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
SQL
Git
LaTeX
Bash
Docker
Frameworks & Libraries
PyTorch
Lightning
TensorFlow
Keras
Scikit-Learn
Pandas
NumPy
Matplotlib
Seaborn
BeautifulSoup
Scrapy
React
Next.js
Django
Languages
English
Full proficiency
German
Conversational (B1)
Hungarian
Elementary proficiency
Selected Projects
Proportions Controlling Genetic Algorithm (PCGA)
researchA 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.
The AI Frontier Podcast
communityI launched this podcast to contribute to the AI community by sharing valuable insights about the future of artificial intelligence.