Professional Overview
Full Stack AI Engineer with expertise in designing and building scalable AI-powered applications from frontend to backend. Experienced in Python, JavaScript, APIs, databases, cloud deployment, LLMs, RAG, and machine learning. Passionate about delivering intelligent, secure, and user-focused solutions that solve 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.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
