Professional Overview
I am an AI engineer focused on the building the agent, scalable cloud infrastructure and data layer of the system. Driven by a deep curiosity to understand how things work at a fundamental level, I routinely ask second- and third-level questions to uncover architectural edge cases before they become issues. Throughout my tenure, I have worked across the entire stack - building data pipelines and cloud infrastructure on AWS, deploying multi-agent AI workflows, and leveraging tools like Amazon SageMaker to fine-tune and host open-source models for cost-effective data extraction.
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.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
