Professional Overview
AI Engineer with 1.5 years building production RAG pipelines, LangGraph multi-agent systems, and fine-tuning LLMs (LoRA/QLoCA) on edge hardware. Shipped a LiteLLM gateway cutting costs 54% and an on-device SLM for Eli Lilly on Snapdragon 680. Springer-published on LLM adaptation. Open to remote roles.
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.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.