Professional Overview
Extensive hands-on experience in research, design, and deployment of deep learning, machine learning, Retrieval-Augmented Generation (RAG), Agentic AI, and Generative AI (GenAI) solutions, with a strong focus on applications in the healthcare and fintech domains. Proven track record of delivering impactful AI systems that combine cutting-edge research with real-world business value.Expertise across the full AI/ML lifecycle including literature review, experimental design, data preprocessing, model development, performance benchmarking, cloud-native deployment (GCP,AWS), and production monitoring.
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.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
