Professional Overview
I am a Computer Vision MLE focused on modifying, implementing, and delivering cutting-edge research into production settings. I have full lifecycle experience from proposing and conducting research, to transitioning ideas into deployable products. My interests include 3D perception, SSL pretraining, representation learning, and much more.
Experience
AI Expertise
Skills
Employment Type
Education
Field of Study: Computer Engineering
Field of Study: Computer Engineering
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
