Open to opportunities

Nate Tan

@natetan

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Senior software engineer building scalable, AI-enabled distributed systems and low-latency APIs.

United States

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What I'm looking for

I seek roles building scalable, AI-enabled backend systems with strong ownership, cross-functional collaboration, and opportunities to mentor and improve reliability.

I am a Senior Software Engineer with deep experience designing and operating large-scale, low-latency distributed systems, machine learning pipelines, and production APIs across cloud platforms. I have built forecasting and real-time transaction systems, engineered ETL and embedding pipelines processing tens of millions of documents, and delivered PCI- and HIPAA-compliant services using modern microservice patterns.

I lead cross-functional teams, mentor engineers, and drive observability and reliability improvements that reduce latency and mean time-to-resolution. My work spans Python, Go, Java, .NET, Kubernetes, AWS/Azure/GCP, vector databases, LangChain/OpenAI RAG systems, and end-to-end ML model productionization.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Engineer

Current

Amazon

Jul 2022 - Present (3 years 11 months)

Designed and built globally available, low-latency forecasting and ML inference APIs serving 100ks of daily traffic and processing millions in revenue; reduced real-time API latency by 40% through query and index tuning and automated large-scale ETL/embedding pipelines processing tens of millions of documents monthly.

Python Go fastAPI Docker AWS Kafka PostgreSQL Spark Machine Learning Kubernetes

Backend Engineer

iAvva AI Consulting

Aug 2023 - Aug 2024 (1 year)

Built scalable, low-latency .NET APIs and PCI/HIPAA-compliant systems, implemented a real-time transaction authorization engine and unified GraphQL data API, and reduced mean time-to-resolution by 40% via observability rollouts.

.NET ASP.NET Core GraphQL Azure DynamoDB Kafka Redis Stripe OpenAI

Software Engineer II

Alaska Airlines

Sep 2017 - Jul 2022 (4 years 10 months)

Developed and maintained Spring Boot microservices and Next.js/React consoles for live-streaming platforms, implemented GraphQL to halve response times and built auto-scaling Kubernetes clusters achieving 99.9% uptime during major events.

Java Spring Boot React TypeScript Kubernetes AWS GraphQL PostgreSQL Redis CI CD

Mobile Application Developer

Alaska Airlines

Jun 2017 - Sep 2017 (3 months)

Contributed to cross-platform React Native mobile features for iOS and Android, improved system performance by 25% through optimizations, and enhanced automated testing coverage.

React Native JavaScript Unit Testing REST APIs Debugging Performance CI CD iOS Android

Education

Degrees, certifications, and relevant coursework

University of Washington

Bachelor of Science, Computer Science

2014 - 2019

Completed a Bachelor of Science in Computer Science with coursework and projects spanning software engineering, distributed systems, and machine learning.