Professional Overview
AI/GenAI Engineer and Engineering Manager with 7+ years building production LLM-powered systems, scalable distributed architectures, and multi-agent pipelines in Python. Led teams of 5+ engineers—owning system design, sprint planning, technical reviews, and stakeholder communication across multiple concurrent projects. Delivered end-to-end agenti
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Managed and mentored 5+ engineers; drove team-wide AI tool adoption
- Owned LLM system design and ETL pipelines; led planning and stakeholder updates
Key Achievements / KPIs
- Built production LLM systems across healthcare, fashion, and supply chain.
- Delivered RAG, agentic AI, and multi-agent workflows in Python.
- Drove AI tool adoption with Copilot, Claude, and Cursor team-wide.
- Built healthcare copilot with FHIR-integrated patient context.
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.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
