Professional Overview
I'm an AI/ML engineering leader who builds systems that ship to production and hold up under real load. I work at the intersection of applied AI/ML and business impact, turning research into systems people actually use. My depth is in production SDLC, LLMs, Agentic Systems, Automation, Fintech and Quantitative Trading infrastructure.
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.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
