Professional Overview
Machine Learning Engineer specializing in Natural Language Processing (NLP), Large Language Models (LLMs), and Agentic AI architectures. Proven track record of engineering cutting-edge generative systems, automating scalable data ingestion pipelines, and deploying high-performance production models to cloud infrastructure (AWS/GCP).
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.
data science & analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
