Full-stack Software Engineer leveraging Ruby on Rails and modern front-end technologies to build scalable solutions at Adwerx. I thrive in agile environments where I collaborate with cross-functional teams to transform complex requirements into elegant code.
Design and engineer enterprise-scale advertising platforms, combining distributed systems architecture with full-stack development to deliver targeted digital marketing solutions.
Key Technical Contributions:
Architect and implement high-performance advertising platforms using React, Redux Toolkit, and Ruby on Rails
Engineer robust data transformation pipelines processing millions of daily records for targeted advertising campaigns
Design distributed processing systems using Sidekiq and RabbitMQ, significantly improving system scalability
Establish integrations with major platforms including Facebook Ads API and enterprise CRM systems
Lead technical planning and RFC processes, driving architectural decisions across multiple teams
Optimize development workflows through strategic adoption of AI tools like GitHub Copilot
Advance Git workflow management, improving team collaboration and deployment efficiency
Technologies:
Frontend: React, Redux Toolkit, Modern JavaScript
Backend: Ruby on Rails, PostgreSQL
Infrastructure: RabbitMQ, Sidekiq, Datadog
Tools: Git, GitHub Copilot, Modern CI/CD practices
Led the development of a HIPAA-compliant healthcare platform focusing on patient glucose monitoring and analytics. Architected and implemented a scalable, distributed RESTful API system supporting multiple client applications.
Key Technical Contributions:
Designed and implemented microservices architecture using Ruby on Rails and Spring Boot (Kotlin), ensuring HIPAA compliance and data security
Orchestrated containerized deployments using Docker and managed cloud infrastructure on AWS
Implemented real-time data processing pipeline using Apache Kafka for streaming analytics
Built robust async processing system using Sidekiq and Beanstalkd for handling background jobs
Established comprehensive monitoring and logging solutions using ELK Stack (Elasticsearch/Kibana)
Managed CI/CD pipelines through Jenkins, ensuring reliable deployment cycles
Utilized Atlassian Suite (JIRA/Confluence) for project management and documentation
Lead Software Developer at EPA's Office of Research and Development, National Center for Computational Toxicology, spearheading the development of mission-critical Laboratory Information Management System (LIMS) and contributing to CompTox.epa.gov Dashboards.
Key Achievements & Responsibilities:
Architected and developed a comprehensive LIMS platform using Ruby on Rails 4.x, implementing complex data management workflows for computational toxicology research
Led requirements gathering and system design processes, collaborating with scientists and researchers to translate complex laboratory workflows into efficient digital solutions
Engineered responsive front-end interfaces using modern web technologies (jQuery, DataTables, Bootstrap), following MVC architecture principles
Managed multi-environment deployment pipeline (development, staging, production), ensuring seamless delivery of new features and updates
Implemented robust automated testing framework using Test-Driven Development (TDD) methodology, achieving 90%+ code coverage
Designed and executed data migration strategies for legacy systems, ensuring data integrity and continuity
Led daily code reviews and mentored team members in best practices while working in an Agile/Scrum environment
Maintained comprehensive documentation and version control using Atlassian suite (JIRA, Confluence, Bitbucket) and Git