Professional Overview
Principal Machine Learning and GenAI Engineer with 9+ years of experience building production AI systems, including GenAI platforms, multi-agent workflows, forecasting pipelines, recommendation systems, and real-time ML services. Skilled in Python, FastAPI, LangGraph, cloud deployment, and enterprise LLM integrations across AWS, Azure, and GCP.
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.
data science & analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
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.
