Professional Overview
AI engineer with expertise in building scalable AI agents for specific tasks, building voice agents, fine tuning small language models. Have worked on evaluation pipeline, guardrail and hallucination mitigation tasks. Experienced in maintaining, deploying and monitoring AI applications on AWS.
Areas of Expertise
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
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.
