cv

Basics

Name Prioteasa Cristi Andrei
Label Data and Computer Science M.Sc. Student
Email prioteasa_andrei77@yahoo.com
Phone ##################
Url prioteasaandrei.github.io
Summary I am a self-motivated, purpose-oriented person who prefers getting a high-level general overview of the problem before diving into computation and implementation.

Work

  • 2025.04 - Present
    Teaching Assistant
    Teaching Assistant | Machine Learning Essentials SS25, Faculty of Informatik, University of Heidelberg
    Implementing automated tests for the course assignments, and grading the assignments. Assisted in creation of debugging questions, that prepare the students for practical challenges when solving ML related tasks in practice.
    • Implementing an automated grading framework based on otter-grader, and a testing framework for the course assignments.
  • 2024.10 - Present
    Intern
    Intern | Machine Learning Human Behaviour, IWR, University of Heidelberg
    Mandatory internship as part of the Data and Computer Science M.Sc. curriculum. Exploring different approaches to Human Behavior modelling and control through Repeated Trust Game interactions, using Dynamical System Reconstruction methods and Recurrent Neural Networks. Internship under the guidance of the Machine Learning Human Behaviour laboratory, IWR.
    • Implemented a Dynamical System Reconstruction method for Human Behavior modelling and control through Repeated Trust Game interactions, using Dynamical System Reconstruction methods and Recurrent Neural Networks.
  • 2024.02 - 2024.05
    Hilfswissenschaftler
    Institute for Mathematics, Image & Pattern Analysis Group, University of Heidelberg
    Contributed to DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting, a deep-learning-based dense visual SLAM framework that achieves real-time global optimization of poses and 3D reconstruction. Responsible for designing and implementing an evaluation framework, developed scripts, and defined performance metrics.
    • Responsible for result evaluation, Weights & Biases integration, literature research, running experiments
  • 2021.07 - 2021.08
    Full Stack Web Developer Intern
    NetRom Software
    Developed a web-based consumer application using React and .NET 5 for event management within a company.
    • Handled authentication, security, and consistent design across devices and browsers.
    • Gained experience with SCRUM methodology and Jira.

Volunteer

  • 2019.01 - 2021.01
    Design Team Member
    Board of European Student of Technology (BEST)
    Involved in designing models and banners, attending meetings, and contributing to event planning.
    • Contributed to various events such as hackathons.
  • 2018.01 - 2018.01
    Participant
    Epilepsy Challenge Marathon
    Supported a 5 km cross event to raise awareness and reduce stigma towards epilepsy.

Education

  • 2024.01 - Present
    Application Field of Study
    University of Heidelberg
    Certificate of Advanced Studies in Cognitive Science
    • Computational Cognitive Science
    • History of Philosophy
    • Seminar of Linguistics
    • fMRI analysis and experimental design
    • Introduction to Cognitive Science
  • 2023.01 - Present
    Master of Science
    University of Heidelberg
    Data and Computer Science
    • Inverse Problems
    • Computer Vision (3D reconstruction)
    • Time Series Analysis
    • NLP using Transformers
    • Machine Learning Essentials
    • Software Economics
    • Generative Neural Networks for the Sciences
    • GPU Computing and Architecture
    • Mining Massive Datasets
    • Computational Statistics and Data Analysis
    • Deep Learning for Medical Image Analysis
  • 2022.06 - 2022.08
    Summer School
    3D UPB Summer School
    Reinforcement Learning and Computer Vision
    • Reinforcement Learning
    • Tabular and Deep Q Learning
    • Image Filtering
    • Depth Recovery
    • Planar Segmentation
    • Edge Detection
    • Normal Map Construction
    • Pattern Matching
  • 2021.01 - 2022.01
    ERASMUS+ Exchange Program
    Technische Universität Darmstadt
    Computer Science M.Sc.
    • Machine Learning for Natural Language Processing
    • Introduction to Computer Vision
    • Distributed Systems and Algorithms
    • Mobile Networks
  • 2019.01 - 2023.07
    Bachelor of Science
    Politehnica University of Bucharest
    Computer Science, Machine Learning and AI
    • Linear Algebra
    • Statistics and Probability
    • Calculus II and III
    • Data Structures and Algorithms
    • Numerical Methods
    • Physics
    • Functional and OO Programming
    • Communication Protocols
    • Digital and Analog Electronics
    • Database Administration
    • x86 Architecture
    • Operating Systems
    • Computing Systems Architecture
    • Artificial Intelligence
    • Introduction to Cryptology
    • Machine Learning
    • Computer Vision
    • Signal Processing
  • 2015.01 - 2019.01
    High School
    “Fratii Buzesti” National College
    Mathematics and Informatics
    • Mathematics
    • Informatics
    • English Bilingual Profile

Awards

  • 2023.08.01
    DAAD Master Stipendium
    Deutscher Akademischer Austauschdienst
    The German Academic Exchange Service (DAAD) is the largest German support organization in the field of international academic cooperation. Scholarship was awarded for the entire duration of the M.Sc. program at the University of Heidelberg.
  • 2023.11.01
    Q-Hack 2nd place in Microsoft Challenge
    Q-Summit
    Participated in the Q-Hack hackathon, a competition that challenges participants to develop AI agents that can enhance university life. Take a look at what we came up with here.
  • 2016, 2017

Skills

Technical Skills
Python
NumPy
Pytorch
Matplotlib
Pandas
Linux (Debian)
SQL
LangChain
Elasticsearch
OpenCV
Streamlit
PyMC
Docker
Git
Other Skills
Jira
SCRUM
AGILE
Data Analysis
Linear Algebra
SLAM

Languages

Romanian
Native speaker
English
C2 certified
German
B1 (not certified)
French
A2 (not certified)

Interests

Music
Plays several instruments
Debating
Cognitive Science
Philosophy
Psychiatry & Psychology