Maria Eleni Patsi
Welcome to my portfolio.

Software Engineer with experience in embedded systems, C/C++, and edge AI. Completed M.Sc. coursework and finalizing dissertation research. Familiar with ARM architecture, VHDL, and system-level software development, with strong interest in embedded software and semiconductor technologies.

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Skills

Education

Recent Work

Here you can find the projects I have been working on. You can use the buttons below to filter the projects by category. Click on each project to see more details and access the code on GitHub! In the featured section you can find projects that I consider to be the most significant and representative of my skills and interests, while the other categories include additional projects that showcase a wider range of my work.

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• Embedded
• AI & Data
• Game Development
• Backend

Sobel Edge Detection SoC Accelerator

Complete System-on-Chip design for accelerating Sobel edge detection using Xilinx Vivado. Hardware-software co-design for computer vision acceleration.

ARM Multicycle Processor

Implementation of a subset of ARM instruction set architecture in a multicycle microarchitecture using Xilinx Vivado, exploring processor design principles.

Caves of Chaos - Java RPG Game

A roguelike role-playing game developed in Java for an Object Oriented Programming class, featuring dungeon exploration and game mechanics with animated sprites!

RBF-Based Kolmogorov-Arnold Networks

Implementation of Radial Basis Function Kolmogorov-Arnold Networks, part of a hardware-accelerated KAN FPGA project for efficient neural computation.

Deep Neural Networks for Stock Prediction

Final project for Deep Neural Networks course exploring machine learning approaches for time-series financial data prediction and analysis.

Parallel Programming Experiments

Comprehensive exploration of parallel programming in C using Pthreads, OpenMP and MPI, investigating concurrent programming patterns and performance optimization.

Image Toolkit - C++

A C++17 image processing toolkit with command-line automation and image I/O. It includes convolution filters, max pooling, kernel based filters, flexible output handling, and unit-tested components built with CMake.

c-sparse-matrix-engine

With this engine a 2D sparse matrix data structure is implemented with graph traversal capabilities using Breadth First Search (BFS) while also detecting cycles in the BFS tree. Basic operations for nodes include create, insert, delete.

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Publications

Hackathons, Workshops, Seminars & Volunteering

Get In Touch

I'm always open to new opportunities, collaborations, or just a friendly chat. Feel free to reach out through the contact form below or connect with me on my LinkedIn. I'll get back to you as soon as possible!