Professional Overview
Data Scientist, AI Researcher with broad-based experience in building data-intensive applications, overcoming complex architectural, and scalability issues associated with the deployment of industrial-strength AI. Proficient in computer vision, large language models, predictive modeling, data processing, and data mining algorithms, as well as scripting languages, including Python. Experienced in modeling text, tabular, image, and video data, adopting various machine learning / deep learning models for real-time applications for healthcare and retail. Passionate about developing cutting-edge AI-based solutions that are strategic, innovative, creative, and value addition for business growth and development. Directly involved in delivering over $10M in AI solutions on Google Cloud Platform, AWS and Azure, to date.
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
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.
