Education

• M.Sc. in Embedded Systems, Technische Universiteit Eindhoven (TU/e), 2025 (expected)
• B.Sc. in Computer Science and Engineering, Technische Universiteit Eindhoven (TU/e), 2022

Work experience

Embedded Systems Engineer, Accenture, June 2024 - September 2024

• Full-time internship
• Implemented BLE API with MQTT support in Go for an internal media player using a Raspberry Pi as MCU
• Implemented a Javascript app with Web Bluetooth to allow any device with a browser to connect to the media player

Embedded Software Engineer, ASML, July 2023 - December 2023

• Full-time internship
• Designed a framework for hardware-in-the-loop end-to-end test automation with behavior-driven development
• Implemented Python libraries with RobotFramework that used OPC UA and XML-RPC as communication protocols
• Expanded the Matlab/Simulink plant model that simulates the temperature properties of the machine
• Implemented state machines for simulating electronic components’ behavior in C++ with Boost
• Eliminated the need for end-to-end manual testing and integrated the framework in the CI/CD pipeline

Robotics Software Engineer, Starnus Technology, July 2023 - December 2023

• Full-time internship for Bachelor Thesis
• Starnus Technology is a startup specializing in custom autonomous mobile robots for logistics applications
• Developed infrastructure that allows users to send commands and create missions for robots via a web application
• Designed the system’s architecture, containing a Vue web application, a Springboot server and ROS nodes
• Developed ROS nodes with C++, a robot simulation in Gazebo, web sockets in Java on the Springboot server
• Collaborated in a SCRUM team of 10 students, following Agile principles, using Git and integrating CI/CD

Operations Manager & Engineer, Team Polar, September 2021 - July 2023

• Team Polar is a student team that develops a solar powered autonomous vehicle that facilitates Antarctic research
• Oversaw the organization and direction of the Team’s ~25 members as Operations Manager in the Team’s Board
• Implemented a vehicle simulation with ROS, Gazebo, C++; installed mechanical parts; soldered wires
• Created a 2D animation in Adobe After Effects that presents the Team’s mission to a non-technical audience
• Oversaw the construction of the Team’s first prototype, a €40,000 remote-controlled rover weighing 350kg
• Successfully tested the prototype in Norway in January 2023 which can be seen here.

Teaching Assistant, Technische Universiteit Eindhoven, September 2020 - July 2023

• Part-time job
• Duties include:
  • Teach small-sized (8 students) groups
  • Lead medium-sized (30-40 students) Q&A sessions
  • Grade mathematical proofs, pseudo-code algorithms
  • Grade programming assignments (Java, ARM Assembly, Haskell)

Research experience

• Student researcher, Division of Electronics and Embedded Systems of Kungliga tekniska Hogskolan (KTH), February 2024 - June 2024
  • Erasmus+ full-time internship
  • Investigating latency improvements for ROS2 systems via task-to-executor allocation schemes
  • Created a framework for deploying run-time generated ROS2 executor architectures for fast iteration experiments
• Student researcher, Security Group (SEC) of TU/e, November 2021 - April 2022
  • Investigated cybercriminals’ preference of underground markets by inspecting their activities on 23 illegal markets
  • Created web scrapers in Python and compiled a database with data about 480 cybercriminals
  • Determined the common features of the illegal markets that are visited by notorious cybercriminals
  • Co-authored a paper presenting the results, published at WEIS ’23, accessible here
• Student researcher, Smart Mobility track of the Honors Academy of TU/e, September 2020 - May 2021
  • Investigated estimating optical flow in an unsupervised way
  • Implemented neural networks with Pytorch for image classification (ResNet), semantic segmentation (DeepLab)
  • Designed an optical flow network that calculates the loss from the output frame and a reconstructed second frame
  • Implemented the reconstructor by using the generator of Pix2Pix, an image-to-image translation network
  • Analyzed the approach with confusion matrices, loss graphs, wrote a comprehensive report about the findings

Skills

• Programming Languages
  • C, C++, Java, Python, C#, Bash, MATLAB, Haskell, Tcl, Typescript, Dafny, HTML/CSS/Javascript
• Tools and frameworks
  • Git, Jira, ROS1, ROS2, Gazebo, Cadence, OpenGL, Pytorch, OpenCV, Springboot, Boost
• Languages
  • English - Full Proficiency (C2)
  • Dutch - Limited Working Proficiency (B1)
  • Spanish - Limited Working Proficiency (B1)
  • Romanian - Native (C2)