Professional Overview
AI Engineer with a Computer Vision and Deep Learning background, focused on building end-to-end ML pipelines that go from prototype to measurable production performance. Experienced in PyTorch-based model development, model evaluation and failure analysis, and industrializing AI systems under real-world latency and data-quality constraints
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.