Professional Overview
AI and Automation Engineer with 4+ years of hands-on experience in Python development, IoT systems, embedded automation, and deep learning. Skilled in building real-time AI applications, deploying edge-based computer vision models on Raspberry Pi, and integrating hardware–software systems for intelligent automation. Experienced in developing end-to-end AI pipelines, sensor-based IoT solutions, and high-performance deep learning models optimized for production environments.
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.
