bxrne
bxrne

Hi I'm Adam Byrne, a MSc ISE student (graduating 2026) studying software engineering with industry experience in Industry 4.0 (robotics and computer vision), Radar vision, Manufacturing automation and cloud computing (Pharma 4.0). Also building rockets at ULAS-HiPR (Mach24, EuRoC 2024).

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Projects

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Work in Progress! - Experimenting with the idea of creating a 6-DOF High Power Rocketry simulator (thrust curve, aerodynamics, parachutes and analysis).
Parsing and lexing the toy BUCOL language (simplified COBOL) using Lex and Yacc. This project was completed as part of my compilers module in college.
Adapted sliding tiled inference for small object detection with Radar using the ONNX runtime. This project was completed as part of my residency at Provizio.
This project received a bronze medal on Kaggle. I developed a classifier to estimate the risk of heart attack per patient based on their medical history.

Posts

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3 min read
Working on the Cloud delivery team for the PAS-X MES system from Körber and inspection tooling for the MedTech manufacturing line on the EVA project.
3 min read
5D Perception™️ - Radar only classification, tracking and freespace segmentation for autonomous vehicles in all weather conditions.
2 min read
Enabling real-time remote control of UR6e robotic arm using your hand, for increased efficiency on assembly lines without shutdowns.

Career

CV
Johnson & Johnson

Sep - Dec 2024

Developing MES tooling for inspection processes with high demand for data integrity. Following on from my work as an intern
Johnson & Johnson

Jun - Aug 2024

Working on the PAS-X Global Deployment team, optimising cloud resources and pipeline. Working on improving inspection processes with APIs for a distributed system.
ULAS HiPR

Jul - Oct 2024

Developing a real time processing chain for a CanSat along with a cGAN ML model to do agri evaluation with an RGB camera. I work alongside the Electronics and Software team leads to create an intelligent CanSat.
ULAS HiPR

Dec 2023 - Jun 2024

Developing a real time processing chain for a CanSat along with a cGAN ML model to do agri evaluation with an RGB camera. I work alongside the Electronics and Software team leads to create an intelligent CanSat.
Provizio

Sep - Dec 2023

Working with 5D Perception™️ to reduce road deaths to zero. Integrated SAHI ONNX runtime, Parallelized k-fold cross validation and developed profiling tools for the AI team.
Analog Devices

Jun - Aug 2023

Worked towards Industry 4.0 by developing a teleoperation solution for robotic arms using realtime wrist tracking via LiDAR and Infrared to reduce downtime.
ToDesktop

Sep 2021 - Jul 2022

Created a cloud storage optimisation tool to cross reference active customers with files to reduce unused storage. I also worked on the Desktop UI for configuring the look and feel of apps.