Lowie Meganck

Software Engineer

Profile

Computer Science Engineer with hands-on experience building reliable, performant software in cross-functional teams. Passionate about clean architecture, thoughtful design, and turning complex problems into elegant, maintainable solutions. I thrive in collaborative environments where curiosity and craftsmanship are valued.

Work Experience

Software Engineer

2023 — Present

Polysense · 2.5 years

  • Focused primarily on computer vision and AI: model design, training pipelines, integration, and production-quality inference.
  • Guided client projects from discovery through delivery—scoping, technical design, implementation, validation, and handover—with measurable outcomes in mind.
  • Aligned engineering choices with client value: clear requirements, pragmatic trade-offs, and solutions that stay maintainable after go-live.
  • Worked closely with stakeholders to translate business goals into robust vision and ML systems that fit real-world constraints.

Software Engineer

2022 — 2023

UGent Racing · Formula Student team · 1 year

  • Designed, built, and maintained a real-time pipeline for processing LiDAR data on the team's autonomous race car.
  • Implemented point-cloud filtering, clustering, and cone detection to feed the perception stack of the driverless system.
  • Collaborated with a multidisciplinary team of engineering students alongside the final year of my Master's degree.
  • Validated the pipeline through on-track testing and iterative tuning based on real sensor data.

Education

Master of Science in Computer Science Engineering

2021 — 2023

Ghent University · Faculty of Engineering and Architecture Magna cum laude

Advanced studies in software engineering, distributed systems, algorithms, and machine learning, capped off with a thesis focused on applied software engineering.

Bachelor of Science in Computer Science Engineering

2018 — 2021

Ghent University · Faculty of Engineering and Architecture Magna cum laude

Solid foundation in mathematics, computer architecture, programming paradigms, data structures, databases, and software design.

Technical Skills

Languages Python, Java, C, C++
Frontend React, HTML, CSS
Backend Node.js, REST, Django
Databases PostgreSQL, MongoDB
DevOps Docker, K8s, CI/CD, Linux
Cloud Azure
Tools Git, Jira, Cursor