Professional Overview
AI/ML Engineer with experience building production-ready AI systems, LLM applications, automation workflows, and scalable cloud infrastructure. Skilled in Python, agentic AI, RAG pipelines, MLOps, and full-stack development. Focused on reliable, maintainable systems that solve real business problems and scale effectively.
Experience
AI Expertise
Skills
Employment Type
Education
Field of Study: Machine Learning
Field of Study: Industrial Robotics
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.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
