Professional Overview
Experienced computer vision engineer with strong expertise in data preparation, model training, testing, and evaluation, as well as deploying models in containers with APIs. Recently gained hands-on experience in Ops technologies including DVC, MLflow, AWS, GitHub Actions, Prometheus and Grafana. Adept at communicating complex ideas clearly. Known for a conscientious work ethic, excellent critical thinking skills and a proactive approach to problem-solving, self-development, and career growth.
Areas of Expertise
computer vision
Develop image recognition, object detection, video analysis, and multimodal AI systems for real-world applications.
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.
