Professional Overview
Applied AI engineer bridging enterprise data and GenAI. 3+ years across BigQuery, Snowflake, Fabric, Vertex AI, Databricks, and Claude API. Shipped AI for Fortune 50 retail ($5M revenue protected) and Fortune 100 telecom (94% query cost cut via Vertex AI agent). Three live open-source products: agentic spreadsheet, DB cost CLI, and voice AI app.
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.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
