Professional Overview
Artificial Intelligence Engineer, specialized in the end-to-end development and deployment of AI solutions for energy monitoring, infrastructure inspection, and NLP applications. Expert in time series modeling and NLP tools that optimize costs and processes. Strong experience in cloud and on-premises deployment, with a proven ability to translate business needs into reliable data-driven solutions.
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.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
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.
