Jonathan Zul Luna
Machine Learning Researcher & Full-Stack Engineer
jonathanzulluna.work@outlook.com
902-540-3037
Charlottetown, PE, Canada
UPEI Computer Science Honours graduate (3.9 GPA) specializing in Machine Learning and Computer Vision. Award-winning researcher focused on developing interactive, Explainable AI (XAI) systems that assist diagnostic pathology. Expert in leveraging Vision Language Models (VLMs) to build 'Human-in-the-Loop' tools that empower experts and streamline complex workflows.
Experience
Undergraduate Research Assistant (Oyster MSX Project)
May 2024 — PresentUniversity of Prince Edward Island | Charlottetown, PE
- Engineered a 'Human-in-the-Loop' diagnostic system combining Deep Learning (ResNet20 + YOLO11) and Computer Vision (SAM) to automate MSX disease detection in gigapixel Whole-Slide Images.
- Designed an Explainable AI (XAI) interface utilizing Vision Language Models (VLMs) to provide context-aware analysis and flag issues for pathologist review.
- Optimized model training and inference on Alliance Canada HPC systems using CUDA and parallel programming to process 1TB+ datasets.
- Invited by the PEI Aquaculture Alliance to present findings to industry stakeholders and researchers.
Education
University of Prince Edward Island
Sep 2022 — May 2026BSc in Computer Science Honours, Minor Business Administration
GPA: 3.9/4.3
- Dean's Honours List (2022-2023, 2023-2024, 2024-2025)
- Specialization in Machine Learning, Data Mining, and Database Systems
Technical Skills
AI & Machine Learning
PyTorchTensorFlowYOLO11SAM (Segment Anything)OpenCVScikit-learnVLMs
Languages
PythonTypeScriptJavaC++SQLR
Data & High Performance Computing
PandasNumPyCUDAHPC (Alliance Canada)Git
Concepts
Computer VisionExplainable AI (XAI)Object DetectionMLOpsHuman-in-the-Loop
Certifications
- 1st Place Best Undergraduate PresentationScience Atlantic MSCS Conference • Oct 2025
- Science Communication AwardScience Atlantic MSCS Conference • Oct 2025
Languages
- Englishfluent
- Spanishnative