Axel Sneitz-Björkman

Machine Learning Engineer with excellent full stack engineering background, tackling the problems of today that really matters.

Malmö, Sweden, CET

A.SB

About

I'm a 27-year old engineer from Åland islands, who fell in love with technology at an early age. I want to solve real-world problems within society, using technology and conclusions from previous, state-of-the-art research. I have experience with security-focused software development from both personal projects and within large-scale companies.

Work Experience

NordAxon

Apr 2024 - Current

Machine Learning Engineer

Working in various internal projects, applying ML to solve client problems. Areas of expertise: User-centric LLM application design, Geospatial interpolation, LSTM AE for Multivariate AD

Advenica

Jan 2023 - Mar 2024

Full Stack Engineer

Designed and developed the DD System Management Platform, enabling customers to manage scalable network segmentation in IT/OT environments. Supported AI-driven innovation by mentoring students writing their master's theses and served as an appointed DevSec specialist. Core technologies: TypeScript, React, Node.js, Docker, and gRPC.

Ericsson
Internship

Jun 2021 - Dec 2021

Summer & Part-time Engineering Internship

Designed, protyped and manufactured modular, remote-controlled motion rig designed to automate testing-equipment placement within R&D Labs. Core tehcnologies: Python, Telnet and CAD

Education

Lund University (Lunds Tekniska Högskola)

2017 - 2022

M.Sc Electrical Engineering - Specialization: Images and Computer Graphics (Machine Learning)

Thesis @ Ericsson - "Implementing Processing Improvement in Multi-sector Scheduler Simulator" Constructed statistical models of BaseBand system behaviour upon changes in 5G parameters. Constructed simulator based on model for further usage in R&D dep.

Coursework: Computer vision, Image analysis, Applied Machine Learning, Stochastic Methods, Spatial Statistics, Cognition.

Voluntary Work

Lund Formula Student

2019 - 2020

Systems and Sensors Engineer

Designed and constructed the sensor system on CV and EV formula cars of LFS 2020. Gathered sensor data for performance analytics using python, pandas and matlab

Skills

PyTorch

TypeScript

React

Node.js

Docker

Python

SQL

gRPC

SBOM

ScikitLearn

AWS

GCP

Azure

Pandas

Side Projects

Laundry Booking System

Designed and deployed a Laundry-booking system for Lunds Nation serving 200 tenants with scalable technologies.

TypeScript

Next.js

Vite

MongoDB

Auth0

Pusher

ISP Metrics

Small project measuring and presenting ISP metrics in a dashboard