I enjoy designing and building solutions that combine Azure, cloud infrastructure, modern data platforms, automation, and AI to solve real-world challenges.
I enjoy working with cloud technologies, data platforms, and automation to build systems that are simple, reliable, and practical.
I'm currently pursuing a Master's in Machine Learning and Mathematical Modelling, where I'm exploring machine learning, statistical modelling, and MLOps alongside modern cloud and data platforms.
I'm particularly interested in building end-to-end systems where cloud infrastructure, data engineering, and AI come together.
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Azure Urban Mobility Data Platform — Building an end-to-end Azure data platform, exploring modern data engineering from data ingestion to analytics using a Medallion Architecture.
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Vehicle Insurance AI Platform — Building a modular AI platform that combines computer vision and intelligent AI to automate vehicle damage assessment and insurance claim workflows.
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Vehicle Policy Lapse Prediction — Building an end-to-end MLOps platform for predicting vehicle insurance policy lapse, covering data pipelines, model training, containerized microservices, CI/CD, and Azure cloud deployment.
| Domain | Technologies |
|---|---|
| Cloud Platform Engineering | Azure · Terraform · Docker · Kubernetes · GitHub Actions · CI/CD |
| Data Engineering | SQL · Azure Data Factory · Databricks · Spark · Delta Lake · Data Modelling |
| AI Engineering | Python · FastAPI · Azure AI · RAG · Vector Databases · MCP |
| Software Engineering | REST APIs · Git · Testing · Automation · Monitoring |
