I am a Ruby on Rails Developer with 5+ years of experience producing and contributing solutions for all phases of the dev lifecycle. I develop, refine and implement new features on projects - creating backend solutions, building efficient gems and integrating frontend components on projects. I evangelize coding best practices, clean code architecture, RSpec, optimization and compression algorithms.
Creating and developing innovative software solutions for clients across a broad range of industries.
Participate in scrums consisting of cross-functional teams, both software and hardware.
Ensure that features are being delivered efficiently and on-time.
Built and maintained new microservices to scale the solution and improved features for authentication, authorization and security.
Developed and implemented solutions to improve logins, SSO and control of identity, access and permissions for UserTesting.
Improved and maintained solutions - giving and receiving constructive feedback on apps.
Designed and executed new features on the solution - writing readable, maintainable and extensible code.
Designed the tech stack and implemented authentication and authorization solutions for payments and security.
Optimized existing code through system-wide testing to improve performance and scalability.
Designed and implemented new features for jClub's platform - refactoring legacy code and testing new features.
Evaluated new solutions and technologies and provided recommendations to enhance existing solutions and new features.
Wrote high-quality, clean code and implemented new features on the project - taking solutions through the entire dev lifecycle.
Designed, developed and implemented different software solutions from scratch for a variety of clients.
Wrote, enhanced, and updated the codebase across the entire technology stack on projects.
Fixed complex issues on the project - identifying and eliminating technical debt to improve delivery and minimize complexities.
Developed a Ruby compiler to internationalize website files.
Implemented language support for different languages across the solution.
Ensured the website's content is accessible to users in various languages.
Research project focused on state-of-the-art compression algorithms using machine learning.
Identified workarounds to overcome limitations of compression algorithms like bzip2.
Demonstrated the potential for machine learning to improve compression performance.
Developed and implemented a high-performing database solution in C.
The solution aims to outperform MySQL in specific data-intensive tasks.
The project focuses on enhancing performance metrics.
