Professional Overview
AI/ ML Engineer specializing in production-grade LLM systems, RAG pipelines, and agent-based architectures. Experienced in building end-to-end AI systems with FastAPI, asynchronous backends, and distributed messaging systems. Strong focus on system reliability, real-time performance, and scalable AI deployment. Skilled in integrating LLMs into real-world applications using retrieval pipelines, structured reasoning, and event- Driven architectures.
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.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
