Professional Overview
Results-driven AI/ML and Data Engineer with 7+ years of experience building production-grade GenAI applications, machine learning pipelines, and cloud-native data platforms. Expertise spans the full AI lifecycle — from data ingestion and feature engineering to LLM fine-tuning, RAG pipeline development, agentic workflow design, and MLOps deployment.
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.
data science & analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.