Mahmood Seoud

Mahmood Seoud

MSc Computer Science Student | Consultant at PeopleNet

Copenhagen, Denmark

About

I'm a 24-year-old MSc Computer Science student at IT University of Copenhagen with a passion for embedded systems, AI-driven applications, and cloud-based solutions. Passionate about space technology and robotics, with a focus on building scalable, real-world systems using Linux, Yocto, and modern development stacks.

Currently working as a Software Developer at PeopleNet A/S in Copenhagen, where I design and deploy AI-powered solutions that save thousands of DKK per month. Previously gained hands-on experience in digital fabrication and rapid prototyping through specialized coursework.

Creator of SysMentor with Nidocq, developing interactive learning simulations for Computer Systems education. Volunteer embedded systems developer at DISCOSAT, working on CubeSat optical sensor technology and Yocto-based Linux systems for space deployment.

Education

IT University of Copenhagen

Master's in Computer Science

IT University of Copenhagen

July 2024 - June 2026

Master's degree program, 2nd semester

Gaining hands-on experience in digital fabrication and rapid prototyping through courses.

Bachelor's in Computer Science

University of Copenhagen

July 2021 - June 2024

Bachelor's degree program

Strong emphasis on logical thinking, abstract mathematics, and problem-solving.

Thesis: Mesh Grid Networks

Technical Experience

PeopleNet A/S

August 2022 – Present

Software Developer | Copenhagen, Denmark

  • Designed and deployed a custom AI-powered chatbot for SharePoint Online using Azure Cognitive Services and later optimized costs by integrating OpenAI Assistants API, saving 4,000-5,000 DKK per month.
  • Built a React & TypeScript-based web part that streamlined project site setup, reducing configuration time and improving operational efficiency.

DISCOSAT / DISCO Project

February 2023 – Present

Embedded Systems Developer (Volunteer) | Copenhagen, Denmark

  • Developed a C-based camera controller for CubeSat optical sensors, implementing System V IPC mechanisms (shared memory and message queues) to capture and process raw BayerRG image data from visible and IR cameras, with CSP parameter integration for remote Earth-based control and real-time telemetry feedback.
  • Built and maintained a Yocto-based Linux OS for CubeSats, optimizing boot time and reducing system overhead for space-ready deployment.

Publications

Projects