At beon.studio, I joined as a full-stack developer to modernize legacy applications and build new solutions for clients. I led the development of a mobile traffic detector app using Go and AWS Lambda, migrated legacy systems to modern stacks, and improved deployment processes with Docker and the Serverless Framework.

Key Contributions

Led Development of Mobile Traffic Detector App

• Problem: Websites needed to accurately identify users connecting from real mobile devices for verification and analytics purposes
• Action: Led the development of a mobile traffic detector app using Go and AWS Lambda, leveraging mobile carriers’ IP blocks and specific carrier signatures for accurate detection
• Result: Achieved 95%+ accuracy in detecting real mobile users, improving verification and analytics for client websites

Migrated Legacy Applications

• Problem: Legacy applications were built with outdated technologies, making them difficult to maintain, scale, and extend
• Action: Led the migration of legacy applications to modern technology stacks using React for the frontend, Node.js and Go for the backend
• Result: Improved application performance by 50% and reduced maintenance costs by 35%

Configured and Deployed Serverless Infrastructure

• Problem: Traditional server deployments were costly and required significant operational overhead
• Action: Configured and deployed serverless infrastructure using the Serverless Framework, enabling auto-scaling and efficient resource utilization
• Result: Reduced operational overhead by 40% and ensured the app could scale with demand automatically

Contributed to Docker Deployment Process

• Problem: Deployments across 10+ client environments were inconsistent, leading to “works on my machine” issues
• Action: Contributed to the integration of Docker for deployment, creating consistent, reproducible environments
• Result: Enabled consistent and reproducible deployments across 10+ client environments, reducing deployment issues significantly

Built Applications for New Clients

• Problem: New clients had unique business requirements that needed tailored solutions
• Action: Collaborated with cross-functional teams to deliver custom applications using React, Node.js, Go, and serverless architectures
• Result: Delivered tailored solutions that met specific business needs and aligned with client expectations

Impact Summary

• 95%+ accuracy in mobile user detection
• 50% performance improvement for migrated applications