Project Overview

This project involved building a scalable, cloud-based platform to modernize and optimize clinical trial operations for a healthcare company. The goal was to replace outdated systems with automated workflows, high-quality data management, and advanced analytics, ensuring compliance with regulations like PHIPA, PIPEDA, and Law 25.

Key Objectives

• Automate workflows and digitize data
• Enhance data quality and implement robust error detection
• Build secure, compliant cloud infrastructure
• Streamline audits and access controls
• Enable real-time analytics and scalability for future growth
• Leverage AI tools to improve efficiency and patient experience

My Contributions

• Led a team of 5 developers to deliver the platform
• Designed and deployed cloud infrastructure using AWS, Kubernetes, and Terraform
• Built CI/CD pipelines to test, build and deploy to multiple environments
• Developed a robust data model and implemented it in Django+Postgres
• Explored the LLM revolution and built A.I agents using Langgraph
• Oversaw cybersecurity audits and ensured regulatory compliance

Technology Stack