Katana Tran

About Katana Tran

At Amazon Web Services (AWS), contributed to building scalable and efficient cloud solutions with a focus on innovative problem-solving and collaborative development. Leveraged expertise to design, maintain, and implement features to delight customers and enhance operational efficiency. Worked alongside teams to deliver high-performing solutions aligned with organizational goals. With over five years of software engineering experience, including impactful roles at Nordstrom and AWS, focused on crafting scalable systems and seamless integrations. Expertise in account protection, privacy, multi-level account management, and ML based threat detection. Passionate about creating customer-centric solutions in fast-paced environments while fostering team growth and knowledge sharing. Dedicated to driving innovation in cloud-based technologies and advancing operational excellence.

Experience

1. Software Engineer

   Amazon Web Services (AWS)

   Mar 2022 — Present · New York, NY, US

   Developed automated region deployment solution for key processors, reducing build time by 1-2 engineer months per new region per service and eliminating implementation errors. Resulted in 6+ regions built automatically+ Tech-led team of 4 engineers in zero-downtime migration of 7 processor services to new client architecture+ Led team of 5 engineers to create deployment across all AWS regions for sister team and created a light-weight library for easy, continuous integration with their service and increased org-wide visibility/debugging in line with executive goals.+ Spearheaded infrastructure fleet optimization, developed a custom load testing suite to simulate peak surges; resulting in 30% overall cost reduction + Collaborated with research team to optimize team ML models, reducing false positives on S3 log detection by over 40%+ Architected a high-availability daily synchronization job to automate account onboarding from AWS Organizations; implemented a 3-point failover strategy and on-demand triggers to ensure 100% coverage and rapid adoption of core GuardDuty features for over 50k organizations+ Engineered a resilient feature-onboarding platform with a multi-level orchestrator, SQS and Lambda system; implemented consolidated batching to optimize DynamoDB performance and developed an ad-hoc trigger mechanism to support rapid, manual synchronization to boost customer threat coverage+ Maintained and acted as on-call for 10+ ML and non-ML pipelines with 80% user adoption rate across GuardDuty service

Education

• University of Washington

  BS- Biochemistry, BA- English, minor - Chemistry

  2015 — 2017

• Flatiron School

  Computer Software Engineering

  2019 — 2019