Professional Overview
AI/ML Engineer experienced in building and deploying end-to-end computer vision and deep learning systems across agriculture, surveillance, drones, and industrial automation. Skilled in object detection, tracking, classification, pose estimation, video analytics, and production deployment using PyTorch, TensorFlow, OpenCV, Docker, and Hugging Face.
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.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
data science & analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
