Professional Overview
Strong expertise spanning Data Engineering, Big Data, Generative AI, Large Language Models (LLMs), AI data pipelines, data annotation, prompt engineering, model evaluation, machine learning, and full-stack software development. Experienced in building and optimizing ETL pipelines, data warehouses, data lakehouse architectures, AI-ready datasets, ..
Areas of Expertise
data science & analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
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.