CV

Education

Ph.D in Computer Science, University of Zurich, Sept. 2025- Sept. 2029 (expected)
M.Eng. in Electrical and Computer Engineering, Aristotle University of Thessaloniki, Oct. 2019 - April 2025
Scored 19003 out of 20000 in the Greek Panhellenic Exams, June 2019

Sept. 2025 - Sept. 2029 (expected): Ph.D Student
- ZEST Group, IFI, UZH, Zurich, Switzerland
- Doing research on Empirical Software Engineering
- Supervisor: Prof. Dr. Alberto Bacchelli
Set. 2023 - Feb. 2024: Software Engineering Intern
- Tesla, Athens, Greece
- Worked in developing and upscaling (3-20x) in house tools in MATLAB for large scale design of powertrain parts.
- Was part of a fast paced environment, collaborated with US, India and China timezones.
July 2021 - August 2022: Autonomous System Engineer
- Aristotle University Racing Team Electric & Driverless - ARISTURTLE, Thessaloniki, Greece
- Worked on internal mapping systems for an autonomous electrical racecar, plus onboard linux system, hardware sensor setup & wiring and simulations.
- Competed in 3 competitions in summer 2022: FSAta, FSAustria, FSEast
August 2023: Autonomous EV Scrutineer
- Formula Student East, Budapest, Hungary
- Performed safety checks on Formula Student racecars.
- Worked with low & high voltage electrical systems, and autonomous systems.
Nov. 2021 - Nov. 2022: Lead Backend Developer
- CoolSchool, Thessaloniki, Greece
- Lead backend/reliability engineer, software architect on NodeJS backend CMS developed from scratch.
- Co-developer of React Native Android (7th trending on Greek Educational Google PlayStore) and iOS mobile App.

Autonomous Racecar State Estimation (C++, ROS2, Python, Matlab, Control Systems)
- Implemented real time robust ROS2 node for racecar state estimation, based on the Extended Kalman Filter.
- Created custom visualization and evaluation scripts to evaluate progress in past data and simulations.
- • Contributed in vehicle top speed in unknown track navigation to go from 15km/h to 25km/h.
Master thesis on Autonomous Driving with Computer Vision (Python, Image Processing, Machine Learning, CARLA Simulator)
- Titled ”Design and development of a low cost end to end autonomous navigation system for consumer vehicles”.
- Proposed a novel, low cost methodology to quickly iterate on end to end models for autonomous driving.
- End to end experimental simulator setup, from dataset gathering to model training to real time evaluation.
Distributed Low Latency Crypto Oracle (Python , AWS, Linux, Redis, Docker, Git)
- Total processing time < 100ms shared across microservices, communicating via redis, 99% availability.

Software development
- Python, Javascript, Typescript, C, C++, SQL, Rust, Go, Java, HTML/CSS, Dart, Swift, Bash, MATLAB
DevOps
- git, docker, kubernetes, cloud computing, AWS, GCP and others
Machine Learning
- Tensorflow, Ollama, PyTorch, Scikit Learn and others