Open to opportunities

Abraham Kang

@abrahamkang

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Senior software engineer building cloud-native, low-latency, compliance-critical distributed systems.

United States

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What I'm looking for

I’m looking for a team where I can lead backend and cloud-native systems that are low-latency, reliable, and compliance-aware—while pushing production AI/ML and mentoring engineers to raise quality and ownership.

I’m a Senior Software Engineer with 10 years of experience at Amazon and Google, where I build large-scale, high-availability distributed systems across healthcare and advertising. I focus on scalable design, system reliability, and engineering leadership—bringing AI/ML-driven platforms and real-time decision systems into production with strong compliance fundamentals.

At Amazon, I architected a highly available multi-region healthcare platform for Amazon Pharmacy, integrating AI-driven clinical automation and compliance-as-code to reduce pharmacist administrative workload by 30% while ensuring regulatory adherence. I also led an automated clinical verification platform, engineered a real-time Drug Utilization Review engine, and delivered HIPAA/FDA-compliant clinical infrastructure with immutable audit logging (99.99% availability) plus LLM/RAG guideline summarization using Bedrock and Kendra.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Engineer

Current

Amazon

Mar 2022 - Present (4 years 3 months)

Architected a highly available, multi-region healthcare platform for Amazon Pharmacy, integrating AI-driven clinical automation and compliance-as-code to reduce pharmacist administrative workload by 30% while maintaining full regulatory adherence. Built a real-time clinical verification and Drug Utilization Review system, including HIPAA/FDA-compliant infrastructure with immutable audit logging an

AWS Microservices Distributed Systems Java Python Go TypeScript React EKS RAG

Software Engineer

Google

Jul 2016 - Feb 2022 (5 years 7 months)

Developed and maintained ML-driven bidding and auction infrastructure for Google Ads, delivering 99.99%+ availability and sub-100ms latency for revenue-critical ad serving. Led authentication/authorization for internal Ads APIs and built low-latency auction execution and monitoring systems using distributed data and CI/CD reliability tooling.

TensorFlow C++Java Go BigTable gRPC CI CD Data Pipelines