Open to opportunities

Blake Adkins

@blakeadkins

Message

Senior software engineer building global payments, AI systems, and scalable cloud services.

United States

Message

What I'm looking for

I’m looking to own high-impact systems end-to-end—payments, scalable backend services, and production AI—where I can optimize performance (latency/availability), use cloud-native tooling, and mentor engineers to deliver measurable outcomes.

I’m a Senior Software Engineer who builds large-scale payment and data platforms that move real business metrics. At Amazon, I architected unified payment infrastructure for Prime Video—processing $5B+ annual transactions across 45 countries with 99.99% availability—while leading direct-to-pay flow improvements that brought payment confirmation latency under 300ms in 12 countries.

I also bring practical AI to production: I built an AI-assisted licensing parser that reduced contract review time by 70% and improved AI subscription intervention to recover $12M in annual recurring revenue. From automating refunds with AWS Step Functions (reducing manual ops workload by 42%) to migrating dynamic pricing using OpenAI models and Kafka signals, I focus on measurable outcomes, scalable architectures, and strong engineering mentorship.

Experience

Work history, roles, and key accomplishments

Current

Software Development Engineer II

Current

Amazon

Jan 2022 - Present (4 years 3 months)

Architected unified Prime Video payment infrastructure in Python and AWS, processing $5B+ annually across 45 countries with 99.99% availability. Led direct-to-pay flows and gateway integrations (Stripe Connect, Adyen), reducing payment confirmation latency below 300ms and improving international payment success by 16%.

Python AWS AWS Lambda AWS Step Functions Adyen AWS Fargate React TypeScript Kafka

Software Engineer – Automation

Intel

Jan 2013 - Oct 2020 (7 years 9 months)

Implemented an AI semiconductor defect detection platform with Python and React, reducing manual wafer inspection time by 62% across three high-volume fabs. Built real-time logistics and inventory systems with Node.js/GraphQL/Kafka and Java/Spring Boot, achieving 99.5% shipment tracking accuracy and reducing stock discrepancies by 47%.