Full Stack Developer

I work remotely on an Investment and Retirement Planning Portal, building interactive dashboards and product tools with React, Tailwind CSS, Chart.js, Redux, and A/B testing. My frontend work increased client engagement by 32% within one quarter.

I develop and optimize Spring Boot and GraphQL APIs for financial modeling and goal tracking, applying Spring Security, caching, and exception handling to improve API performance and reliability by more than 40%.

I design Oracle database schemas, configure AWS RDS encryption, and tune database parameters to achieve 27% faster queries while supporting financial data security compliance. I also automate CI/CD workflows with AWS CodePipeline, CodeBuild, and Docker, deploying microservices to AWS EC2 with infrastructure-as-code practices that support 99.9% uptime.

I researched cloud-computing adoption in clinical trials and pharmaceutical operations, with a focus on data management, regulatory compliance, and digital transformation across academic and industry-sponsored healthcare projects.

I built cloud-native workflows using Python and SQL for automated data integration and analysis. I used Jupyter and VS Code in secure AWS environments to streamline pharmaceutical research and operational data pipelines.

I created technical documentation, conducted literature reviews on cloud strategies, and partnered with academic and industry stakeholders to benchmark platforms and support pharmaceutical data governance and cloud security best practices.

I developed the Barclays Investment Portfolio Manager platform for high-net-worth clients in collaboration with product owners, UX designers, and architecture teams. I followed Agile practices and regular requirements sessions to deliver investment-management capabilities.

I led Angular frontend development using reusable components, reactive forms, lazy loading, dynamic routing, NgRx, and A/B testing, improving engagement by 18% across key modules. I also designed PostgreSQL schemas on Azure with indexes, partitioning, and asynchronous batch jobs, reducing query latency by 43%.

I created Flask-based REST APIs in Python for investment tracking, rebalancing, and historical data access, with WebSocket support for real-time market alerts and pricing updates. I implemented SAML-based SSO with Barclays Identity Gateway, supported OWASP and encryption standards, and reduced login-related issues by 30%.

I developed unit and integration tests with PyTest, Jasmine, and Karma, reaching 92% test coverage and reducing production bugs by 40%. I also deployed to Azure Kubernetes Service through Azure DevOps pipelines, using blue-green deployments and monitoring dashboards to reduce release downtime by 85%.

Master of Science in Management Information Systems.

Bachelor of Engineering with honors in Electronics and Telecommunications, including an AI and ML specialization.