Eduard

Eduard

Hacking my way through life as a second-year Master's student specializing in Big Data . Passionate about Artificial Intelligence and constantly honing my skills.

Hello there

Welcome to my portfolio website! I am Eduard Hogea, a dedicated AI Software Developer with a passion for Big Data, Artificial Intelligence, and Machine Learning. This website serves as an easier way for me to showcase my professional journey, skills, accomplishments, and projects.

Education and Work Timeline

Start

West University of Timisoara, Timisoara

September 2019 - July 2022

Computer Scientist Bachelors
GPA: 9.83/10
Bachelor Thesis: Hybrid Systems with Applications in Machine Learning

Johannes Kepler University, Linz, Austria

September 2020 - February 2021

Erasmus exchange student in Computer Science

Research Intern - West University of Timisoara

January 2022 – July 2022

Developed a neuro-symbolic classifier for cybersecurity attack detection, published in “Applied Sciences- MDPI”.

West University of Timisoara, Timisoara

September 2022 - June 2024

Big Data Master’s Degree
Thesis: Exemplar-Free Feature Selection via Guided Translation and Optimization: Towards Robust Class-Incremental Learning

Universitat Autònoma de Barcelona, Barcelona

September 2022 - June 2023

Erasmus exchange student in Computer Vision/Artificial Intelligence Master’s Degree

ML Engineer – Forgenie (Freelance)

June 2023 – Dec 2023

Fine-tuned a Large Language Model (GPT) for generating Solidity smart contracts, implemented Pinecone for efficient knowledge vectorization and querying.

AI Software Developer – Continental Automotive

January 2024 – ongoing

Worked on an AI-assisted system to detect anomalies and haptic events during braking system development using LSTMs for time-series predictions and SHAP for explainable AI.

Junior Fellowship Researcher – AI4Media

March 2024 – May 2024 (predicted)

Extended research on Exemplar-Free Class Incremental Learning, contributing to understanding feature-space manipulation and handling catastrophic forgetting with statistical and optimization methods.

Present

Contact Details

Programming Languages and Technologies

  • Proficient: Python, TensorFlow, Keras, LaTeX, Git, Pandas, PyTorch
  • Intermediate: MATLAB, C, C++, Prolog, Jess, MySQL, C#, R
  • Beginner: JavaScript, Java, PL/SQL, Node.js, ReactJS, OpenGL, Unix, Spark

Research and Publications

More information can be found on the Publications page. My most notable work includes:

  • Neuro-symbolic model for cantilever beams damage detection
    • Co-authored a paper in “Computers in Industry-Elsevier”, introducing a novel “Logical Convolutional Neural Regression” model.
    • Published in Computers in Industry, Elsevier. Impact Factor: ~12

Languages

  • English: C1
  • Romanian: Native
  • German: A2
  • Spanish: A2

Thank you for visiting my portfolio website. I look forward to connecting with you!