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Waldemar Kulle

Waldemar is an enthusiastic and driven machine learning engineer with a passion for mathematics, machine learning, and image analysis. He has a genuine interest in learning how any complex system works and thrives when he gets to apply his problem-solving toolbox to any technical challenges.

Waldemar cherishes team spirit and loves new getting to know new people. He has extensive experience in event planning, team leading, and mentoring in volunteer settings, and he brings the same energy and curiosity to every project he joins.

In his free time he climbs and trains for obstacle courses.

Data Analysis Machine Learning Image Analysis Software Development Python

Programming languages

Languages Experience Rating Last used
Python 2 years 4 2025
MATLAB 1 years 4 2025
SQL 1 years 4 2025
Java 1 years 3 2025
HTML 1 years 2 2026
Javascript 1 years 2 2026

Development tools

Tool Experience Rating Last used
OpenCV 2 years 4 2025
Pytorch 2 years 4 2025
Git 1 years 3 2025
Raspberry Pi 1 years 3 2025
Rest API 1 years 3 2024

Knowledge & technologies

Tool Experience Rating Last used
Mathematics 5 years 5 2025
Data Visualization 2 years 4 2025
Machine Learning 2 years 4 2025
Data Analysis 1 years 4 2025
Computer vision 1 years 4 2025
Algorithms 1 years 3 2025
CI/CD 1 years 2 2025

Languages

Language Skill level
Swedish Native speaker
English Near native / fluent

Education

  • Master of Science, Engineering Mathematics, Specialization: Machine Learning and Image Analysis Lund University
  • Exchange Semester reading courses in AI, Numerical Linear Algebra, and Optimization University of Guelph
  1. Has some knowledge of the technology/product.
  2. Has previously used the technology/product but may require a brief introduction or course.
  3. Has used this technology/product in projects before and can get going on his/her own.
  4. Feels very confident with the technology/product.
  5. Is very experienced with the technology/product and can support or educate others in this area.

Projects & Employments

Current & previous projects

Developer at ASSA ABLOY Entrance Systems, Landskrona

Building a visualization tool for ASSA ABLOY's industrial entrance solutions. For the final product, customers will be able to, in real-time, customize a 3D virtual representation of their requested entrance system by adjusting everything from large-scale parameters like the entrance width, to small-scale parameters like if a panel should have windows. The virtual representation will be completely realistic with every component visible, representing exactly how the entrance solution will look after installation.

Technologies: Python, Open Cascade, HTML, JavaScript

Algorithm Developer at Optisense Care, Helsingborg

Continued development of an algorithm that classifies mmWave radar recordings of toilet visits as "Defecation" or "Not Defecation". This included re-structuring and re-training of the model, data augmentation, time series modelling, and post-processing.

Technologies: Radar, PyTorch, CI/CD, Amazon Web Services (AWS), SQL, Image Analysis, Machine Learning

Master's Thesis Student at Optisense Care, Helsingborg

Investigated the possibility of estimating the amount and consistency of urine and feces using mmWave radar recordings of toilet visits. The project included creation of a mock dataset, visualization, analysis and feature engineering of the radar data. Additionally, the training of three different machine learning models (LASSO, XGBoost, and ResNet18) to estimate the amount of both urine and feces, as well as classify the consistency of the feces.

Technologies: Radar, PyTorch, Data Visualization, Feature Extraction, Modeling, Machine Learning

Summer Intern at EC Solutions AB, Helsingborg

Developed a security camera program that, through image analysis and machine learning, detects vessels in the Öresund Strait and matches their location to an open source maritime traffic tracker, effectively identifying which vessels travel through the strait and storing their information in a database.

Technologies: Image Analysis, Machine Learning, Amazon Web Services (AWS), SQL, Python, Data Visualization, Statistics

Current & previous employments

EC Solutions AB, Helsingborg

Consultant - Developer at the in-house department working mainly with image analysis, machine learning, and time series analysis.

EC Solutions AB, Helsingborg

Summer intern working mainly with in-house machine learning and image analysis projects.

Sigma Connectivity AB, Lund

Summer intern at Sigma Connectivity's prototype lab conducting PCB assembly and X-ray analysis of different electronic prototypes for customers in several different projects.

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