Gabriel Lopez
@gabriellopez
I am a staff software engineer specializing in full‑stack development, DevOps, and scalable payment systems.
What I'm looking for
I build and operate large-scale, compliant backend systems and user-facing applications. I architected Golang-based payment microservices that handle $50M+ in monthly transactions with PCI-DSS compliance and 99.99% uptime, and I developed real-time fraud detection pipelines (Go, Python, Kafka, ML) achieving 97% accuracy and reducing fraud losses by 30%. I also optimized Kubernetes autoscaling and AWS Fargate workloads, cutting infrastructure costs by $200K annually.
I modernized legacy Ruby on Rails + React stacks into Golang microservices and React/Next.js frontends, improving API response times by 40% and accelerating product iteration. I built HIPAA-compliant patient data platforms and integrated AI-assisted diagnostic pipelines that sped clinician decision-making by 35%, and I have a track record of improving reliability and deployment velocity across Azure and AWS environments.
Experience
Work history, roles, and key accomplishments
Software Engineer
Sardine
Oct 2021 - Present (3 years 10 months)
Architected Golang-based payment microservices processing $50M+ monthly transactions, ensuring PCI-DSS compliance and maintaining 99.99% uptime. Built real-time fraud detection pipelines (Go, Python, Kafka, ML) with 97% anomaly accuracy, reducing fraud losses by 30% and cutting infrastructure costs by $200K annually.
Staff Software Engineer
Klara
May 2018 - Sep 2021 (3 years 4 months)
Modernized legacy Ruby on Rails + React stack into Golang microservices and React/Next.js, improving API response times by 40% and enabling faster product iteration. Built a HIPAA-compliant patient data platform handling 100K+ daily patients and integrated AI diagnostic pipelines that accelerated clinician decision-making by 35%.
Developed C# / ASP.NET Core backend services on Azure powering collaboration features for 50M+ Office 365 users and led a monolith-to-microservices migration to AKS, reducing deployment cycles from 3 weeks to <1 day. Implemented automated monitoring and failover strategies that improved reliability to 99.99% uptime and was awarded the Microsoft Gold Star (2017).
Software Engineer Intern
Uber
Feb 2014 - Aug 2015 (1 year 6 months)
Contributed to a Java-based dispatch service, optimizing driver–rider matching algorithms and improving efficiency by 15% in pilot markets. Developed a React driver onboarding dashboard that reduced onboarding time by 25% and improved adoption.
Education
Degrees, certifications, and relevant coursework
University of Washington
Bachelor of Science, Computer Science and Applied Mathematics
Completed a Bachelor of Science focusing on Computer Science and Applied Mathematics at the University of Washington.
Availability
Location
Authorized to work in
Job categories
Skills
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