Professional Overview
ML engineer focused on building practical AI systems and scalable backends, delivering clean, reliable solutions to real-world problems.
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.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
computer vision
Develop image recognition, object detection, video analysis, and multimodal AI systems for real-world applications.
