Marcus Fredriksson

M.Sc, Artificial Intelligence and Machine Learning

Stenungsund, Sweden

[email protected] marcusfredriksson.com marcusfrdk /in/marcusfrdk

Description

M.Sc in AI and ML with seven years of experience in Python and TypeScript and three years in C and Rust. I build data-driven systems and production-grade software, from signal processing pipelines to quantitative algorithms.

My published research benchmarks 1D CNN inference on the ZCU104 FPGA and introduces a Gaussian process model for predicting energy-per-inference from architecture parameters alone, applying ML methods directly to embedded hardware deployment decisions.

Experience

Lysa Karlskrona, Sweden
Full Stack Developer, Internship, On-Site 2025
  • Delivered an internal web application that streamlined day-to-day operations for the team.
  • Built the frontend in React, delivering a clean and functional interface tailored to internal workflows.
  • Implemented the backend in Java Spring Boot, exposing the REST API layer consumed by the frontend.
Lysa Karlskrona, Sweden
Machine Learning Developer, Internship, Hybrid 2024–2025
  • Automated email triage using ML classification, eliminating manual sorting overhead for the operations team.
  • Built a dividend price regression model with under 10% error margin, using only public data and incoming emails, providing a low-cost forecasting signal.
Axenu Karlskrona, Sweden
Python Developer, Internship, On-Site 2023
  • Developed and maintained a Python backend serving a customer-facing web application.
  • Implemented new features and performance improvements directly in the web app.
Brinja Gothenburg, Sweden
Frontend Developer, UI-/UX Designer, Full-time, On-Site 2020–2022
  • Owned product direction, UX, and implementation of the company's mobile app, shipping the feature set that helped Brinja win multiple best-startup awards.
  • In parallel, led the migration of the existing codebase from JavaScript to TypeScript, reducing technical debt and improving long-term maintainability.
  • Ran customer interviews to understand real usage patterns and iterated on the app design accordingly.
  • Participated in recruiting and onboarding new developers.

Education

Blekinge Institute of Technology Karlskrona, Sweden
M.Sc, Artificial Intelligence and Machine Learning 2021–2026
University of Gothenburg Gothenburg, Sweden
Associate's Degree, Rhetoric 2019–2020

Publications

Energy-Per-Inference Prediction for 1D CNNs on the ZCU104 FPGA 2026
Master's Thesis Blekinge Institute of Technology