Speedup previously delivered in a point-cloud rasterization path.
AI engineer working across production ML, research, and infrastructure
Experience across production ML, research, and infrastructure.
Experience across production machine learning, research engineering, and infrastructure, with most of the recent work centered on autonomous systems and high-performance ML.
Minutes for one internal height-map processing workload after JAX optimization.
Graduate GPA in AI for Medicine and Medical Research at UCD.
Industry domains touched so far: autonomous systems, research tooling, genomics, medical imaging.
Profile
What I bring to a team
I work best in technical environments where the work cannot be cleanly split into "research" or "engineering." I like closing the loop between those two: building the kernel, the pipeline, the orchestration, the measurement, and the test surface around it.
Most of my recent work sits at that intersection: long-context attention kernels, computer vision and generative data pipelines, scheduling and orchestration layers, large-scale processing, and systems that become easier for other engineers to trust.
Work History
Experience
Sep 2025 - Present
Deep Learning Engineer
Valeo Vision Systems • Galway, Ireland
- Built a generative AI workflow over 10,000+ parking video traces, combining segmentation, masking, and inpainting while driving utilization into the roughly 30-45% MFU range under real pipeline constraints.
- Engineered hardware-agnostic JAX optimizations that reduced one trace processing path by 89%, from 45 minutes to 5, after earlier 7x speedups in 3D point-cloud rasterization.
- Architected Airflow and Kubernetes pipelines for extraction, processing, and dynamic task routing across cloud and on-prem resources.
- Investigated agentic CI/CD workflows and documentation generation to reduce engineering friction across a complex codebase.
Jun 2024 - Sep 2024
Software Engineering Intern
Microsoft Research • Dublin, Ireland
- Developed state and API mocking systems that made previewing CMS-driven live changes faster and less operationally expensive.
- Contributed tooling that improved engineering iteration speed in both production and testing environments.
Mar 2023 - Sep 2023
Software Engineering Intern
Microsoft Research • Dublin, Ireland
- Built authentication mocking and a builder-pattern configuration framework that reduced onboarding and backend setup complexity.
- Led work evaluating Copilot output using NLP, semantic accuracy, and topic modeling techniques.
- Won internal hackathon recognition for LLM-based onboarding and M365 education concepts.
Jun 2022 - Sep 2022
Data Science & Machine Learning Intern
Agnicio • Rotterdam, Netherlands
- Benchmarked proprietary forecasting models against strong Kaggle baselines and developed LightGBM, XGBoost, and ARIMA alternatives.
- Helped transition forecasting work toward a SaaS-style offering with better accessibility and scalability.
Nov 2020 - May 2022
Showroom Sales Specialist
Dwyers Electrical • Cork, Ireland
- Worked in a team grossing roughly EUR 5M annually and introduced a chatbot to support online sales activity.
Selected Research
Projects worth highlighting
Block-wise differentiable Sinkhorn attention
Memory-efficient optimal transport attention with a custom backward pass, VMEM packing, and TPU-oriented JAX/Pallas kernels.
Domain shift in deep RL agents
Built reactive exploration methods to quantify domain shift magnitude across OpenAI Gym environments.
Multi-omics analysis for hepatic liver cancer
Integrated genomic, transcriptomic, and proteomic signals to search for predictive biomarkers using deep learning and statistical modeling.
Education
Academic foundation
M.Sc. Artificial Intelligence for Medicine and Medical Research
University College Dublin
GPA: 3.75 / 4.00
B.Sc. Data Science and Analytics
University College Cork
GPA: 3.68 / 4.00