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About

I am passionate about Machine Learning, with a strong focus on Computer Vision. I have over a year of industry experience and have worked on a range of projects, including both my Bachelor’s and Master’s theses.

I am a competitive programming enthusiast, having earned multiple medals at the Romanian National Olympiad in Informatics, along with several other distinctions during my studies.

Work Experience

Jul 2022 -
Aug 2023

Machine Learning Engineer Intern

Xperi Inc., Bucharest, Romania

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  • Engineered synthetic data generation pipelines in PyTorch, using GANs and image super-resolution
  • Improved a human segmentation network with the additional synthetic data
  • Enhanced a facial landmark detection network with synthetic data, achieving over 30% improvement under extreme head pose angles
  • Proposed a method for automatically labeling facial keypoint visibility, obtaining high accuracy on datasets with self-occlusions and external occlusions
  • Replaced a legacy head pose estimation method with a 3D Morphable Head Model fitting approach, increasing precision and robustness

Other Experiences

Jul 2021 -
Aug 2021

Artificial Intelligence and Multi-Agent Systems Summer School

AI-MAS Laboratory, University Politehnica of Bucharest

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  • Attended lectures and had hands-on experience with concepts of Deep Learning
  • Researched ways to improve an Image and Video Captioning model
Oct 2020 -
Sep 2022

Undergraduate Teaching Assistant

Computer Programming Team, University Politehnica of Bucharest

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  • Prepared and evaluated assignments for first-year students (100+ students)
  • Learned to work as a team with professors and other students to improve the learning experience
Aug 2018

Electronics Summer School

Politehnica University of Timișoara

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  • Studied basic electronics, had hands-on experience with Arduino
  • Obtained the highest score on the final tests among the 80+ participants

Education

Sep 2023 -
Jun 2025

M.Sc. in Computer Science, Artificial Intelligence specialization

KU Leuven, Belgium

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  • Average grade: 89.67%
  • Graduated top of the class: Summa cum laude with congratulations of the Board of Examiners
  • Thesis: Image Segmentation with Weak Supervision
  • Relevant courses:
    Principles of Machine Learning Computer Vision Natural Language Processing Reinforcement Learning Big Data Analytics Software Design Software Architecture
Oct 2019 -
Jul 2023

B.Sc. in Computer Science and Engineering

University Politehnica of Bucharest, Romania

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  • Average grade: 99.00%
  • Thesis: Face Components Segmentation Using Generated Facial Images
  • Relevant courses:
    Algorithms & Data Structures Object-Oriented Programming Parallel and Distributed Computing Machine Learning

Technical Skills

Languages

Python
C
C++
Java
Haskell

Machine Learning & Deep Learning

PyTorch
TensorFlow
NumPy
Pandas
Scikit-learn
OpenCV
Computer Vision
NLP
Classical ML

Software Engineering

Algorithms & 
 Data Structures
Parallel Computing & Distributed Systems
Software Design & Architecture
Git
Docker
SQL

Projects

Honors & Awards