● Engineered and deployed a dashboard app processing over 100,000 data entries, directly contributing to a successful funding round for the client.

● Reduced build times by 30% and improved code management efficiency by 25% using Turborepo for monorepo structuring.

● Increased design productivity by 40% and reduced stylesheet size by 60% using Tailwind CSS.

● Boosted user engagement by 20% through the integration of Google Maps API and d3.js for dynamic data visualization.

● Cut query costs by over 40% and increased query speed by 25% by developing a custom module with pg-pool for Redshift DB.

● Reduced deployment time by 50% and minimized server downtime by 30% through CI/CD integration with GitHub and deployment on AWS EC2.

● Developed a high-performance dashboard monitoring Raspberry Pi devices for thousands of users, reducing system issues by 35%.

● Improved debugging efficiency by 25% through a granular coding approach, reducing codebase by 15%.

● Decreased data fetch time by 20% by switching to Fetch API, contributing to a 10% overall speed increase.

● Leveraged AWS RDS Postgres, lowering database costs by 18% while boosting query performance by 22%.

● Enhanced user engagement by 30% with interactive charts from shadcn/ui and a subtle UI design.

● Streamlined deployment, reducing time to production by 40% using Vercel and AWS EC2.