Professional Overview
Senior AI Professional shipping production AI: LLM conversational analytics, query/intent understanding, hybrid retrieval, tool-driven workflows, and multimodal systems. Own end-to-end lifecycle (data, models, prompts, eval, deployment, monitoring, optimization). Focus: agentic AI, long-context dialogue, analytics automation, zero-shot NL2SQL.
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.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
