S e n i o r  
S t a c k  
E n g i n e e r   &   A I  
E n g i n e e r

Summary

Senior Software Engineer (ex-Meta, ex-Amazon, ex-Microsoft) specializing in scalable AI infrastructure, distributed systems, and cloud-native backend platforms. Experienced building observability, telemetry, and performance optimization solutions supporting hundreds of millions of users across AWS and Azure.

Education

University of Washington - B.S. Computer Science (Sep 2006 - Jun 2010), M.S. Computer Science (Sep 2010 - Jun 2012)

skills

skills

Front-End
  80%
Backend
  95%
Web Design
  40%
AI & ML
  90%
DevOps
  85%
Python | JavaScript | TypeScript | C# | React | Next.js | Angular
FastAPI | Django | Node.js | .NET | REST APIs | Kafka | PostgreSQL | MongoDB
LLM Integration | Workflow Automation | AWS (Lambda, S3, ECS) | Docker | CI/CD (GitLab)

python javascript typescript csharp react nextjs angular fastapi django nodejs dotnet postgresql mongodb docker aws gitlab

W o r k   e x p e r i e n c e

Work_Experience

Anon

Senior Software Engineer — Remote | Aug 2023 - Jan 2026. Designed scalable AI infrastructure services enabling secure third-party automation and high-throughput orchestration.

  • Designed backend services enabling AI agents to securely authenticate and interact with third-party platforms without native APIs.
  • Built scalable REST and async APIs using FastAPI to support automation workflows and structured data pipelines.
  • Developed internal tooling with Next.js for workflow configuration, monitoring, and debugging of AI agent tasks.
  • Implemented observability with structured logging, tracing, metrics, and fault-tolerant async execution patterns.
View Work
Anon

Meta

Senior Software Engineer — Seattle, WA | Apr 2021 - Jul 2023. Led observability and telemetry foundations for AI and AR/MR infrastructure across product and research systems.

  • Developed modular distributed frameworks supporting goal-driven autonomous agent behavior across multiple AI products.
  • Integrated structured logging, telemetry signals, runtime metrics, and tracing into inference and internal tooling pipelines.
  • Architected telemetry and logging infrastructure for AR/MR devices with reliable edge-to-backend data flow.
  • Improved diagnostics and reliability through reusable observability tools and adaptive trace frameworks.
View Work
Meta

Amazon

Senior Software Engineer — Seattle, WA | Jun 2016 - Mar 2021. Built scalable platform services and benchmarking systems for Prime Video and device performance operations.

  • Contributed to metadata platform services powering Prime Video homepage experiences across devices and countries.
  • Owned end-to-end benchmark test suite producing millions of daily latency and error datapoints for release decisions.
  • Implemented dynamic configuration and personalization-oriented platform features with Java and Python services.
  • Helped design next-generation AWS IoT benchmarking platform and applied ML/CV techniques to improve robustness.
View Work
Amazon

Microsoft

Software Engineer — Redmond, WA | Jul 2012 - Jun 2016. Built high-scale core platform components for Mail & Calendar across Windows, iOS, and Android ecosystems.

  • Developed core C++ library supporting Mail & Calendar experiences for 600M+ monthly active users.
  • Reduced unit test runtime by 90% and cloud build pipeline time by 60% via architecture and Azure DevOps optimizations.
  • Improved startup performance by 30% and reduced memory churn by ~40MB with low-level C++ profiling and tuning.
  • Led cross-device notification features and contributed to cloud-connected identity, sync, and telemetry services.
View Work
Microsoft

Core Expertise Areas

AI Platform Engineering

  • LLM integration
  • Workflow automation
  • Observability

AI orchestration services, telemetry instrumentation, and secure third-party integrations.

Enterprise Scale

Backend Development

  • FastAPI / .NET APIs
  • Distributed systems
  • Data pipelines

Scalable backend APIs, schema design, and resilient asynchronous service patterns.

High Throughput

Cloud & DevOps

  • AWS (Lambda, S3, ECS)
  • Docker + CI/CD
  • Performance monitoring

Cloud-native deployments, release automation, and operational reliability.

Production Ready
I n d u s t r i e s
AI Infrastructure & Agent Systems
Telemetry, Tracing & Observability
Consumer Product Engineering
Cross-Platform Mail & Calendar
Data Pipelines & Automation Workflows
Analytics & Runtime Diagnostics
API & Backend Platform Engineering
Streaming & Video Platform Systems
Distributed Services & Fault Tolerance
Cloud-Native Infrastructure (AWS/Azure)
Enterprise Integration & API Connectivity
Security, Identity & Privacy Engineering
Desktop & Mobile Ecosystems
Performance Optimization at Scale
Developer Platform Tooling

Microsoft Certified: Azure Developer Associate

Certification aligned with cloud-connected engineering work across identity, telemetry, sync, and platform services at Microsoft-scale product environments.

AWS Certified: Solutions Architect - Associate

Certification aligned with building distributed, resilient AWS platforms and operational reliability foundations used in large-scale service ecosystems.

Meta Backend Developer Professional Certificate

Certification aligned with scalable backend APIs, observability integration, and production engineering workflows supporting AI and platform-heavy systems.

yusuki.doi@email.com

linkedin

Github

NEXTAGE B 205, Inabe City, Mie, Japan

My Resume

+81 090-2093-6304

© Last Updated On Mar 24th 2026