Senior Computer Vision & Deep Learning Engineer with an MSc in IoT & Data Science. Specializing in high-accuracy YOLO pipelines, edge deployment, and production-ready AI systems.
Dedicated AI Engineer, Data Scientist, and Lecturer building intelligent systems and shaping the next generation of tech talent. As a certified Agile and Scrum professional, I deliver production-ready solutions and comprehensive training that bridge the gap between academia and industry.
Fine-tuning SOTA models (YOLOv8, YOLOv9, CLIP) for niche industrial data.
Deploying robust apps with Streamlit, Flask, and cloud-native Docker containers.
Analysed large-scale operational and complaint data to support the Crime Surveillance Unit in building digital monitoring systems for administrative performance.
Teach Programming Fundamentals (C++), Data Structures, AI, and Robotics to undergraduate students.
Providing computer vision and AI consulting support for model development and experimentation.
Delivered competency-based training aligned with NAVTTC's FVTLM027 curriculum.
Gaining practical knowledge of Agile principles, Scrum and Kanban workflows, and iterative delivery.
Completed Scrum Master Training covering Scrum framework, sprint planning, backlog management, and team facilitation.
A showcase of my technical capabilities.
Industrial Streamlit application identifying sub-mm defects in production lines using custom YOLOv8 backbone.
Deep learning pipeline for MRI analysis, utilizing YOLOv9 for high-recall tumor localization.
Surveillance-grade AI system for public safety monitoring with zero-lag inference capabilities.
Improved YOLO architecture specifically optimized for small object detection in dense manufacturing environments.
Validated real-time patient monitoring system using MediaPipe for mobility analysis in clinical settings.
National-scale data visualization platform for crime distribution and police workload distribution.
Exploring the architectural shifts in YOLOv9 and how it impacts inference speed.
Aug 01, 2025A comprehensive guide to containerizing vision pipelines for scalable production.
Jul 20, 2025How to combat small datasets using advanced geometric and pixel-level augmentations.