Full Stack & SDLC Architect5+ Years at AmazonPuyallup, WA
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Crafting resilient cloud systems & GenAI pipelines.

I am Crono Chiu, a Full Stack Software Engineer with over 5 years of engineering experience at Amazon. Specialized in building ultra-reliable serverless web applications using Node.js, React, Python, and AWS Cloud. Spearheaded a landmark GenAI pipeline achieving a 99% operational reduction and architected the complete cloud footprint for ROCS.

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Interactive Request Flow

Simulate Real-World Request & Chaos Flows

Experience how ROCS and Amazon systems maintain uninterrupted availability during network blackouts and high-throughput events.

Benchmark: 12ms local | 0 data lossActive Stage: Step 1 of 5
01UI Event
POS Cashier App
Cashier inputs $42.50 order
02Interception
Workbox Worker
Detects offline status (navigator.onLine = false)
03Local Commit
Dexie.js IndexedDB
Persists order snapshot in encrypted local store
04Auto-Sync
Network Healer
Connectivity restored → trigger flushQueue()
05Cloud Commit
AWS Lambda & RDS
Orders ingested, inventory decremented
Full-Stack Architecture

How We Built ROCS: Tools & Infrastructure

Restaurant & Retail Operations Cloud Suite. Architected with modern Next.js 16, Python Serverless microservices, and multi-stack AWS CDK automation.

Pattern:PWA + Cloud Native Monorepo
Next.js 16 + React 19

Web & Offline-First POS

Store & cashier interface built for fast response times, zero-latency inputs, and offline reliability.

6 Modules

Next.js 16 (App Router)

Core
Web Application Framework

Server-side rendering, streaming interfaces, route groups, and OpenNext edge compilation.

In ROCS Production Pipeline

React 19

UI Core
UI Component Architecture

Concurrent rendering, modern action hooks, and lightweight reactive components.

In ROCS Production Pipeline

Tailwind CSS v4

Design
Styling System

Utility-first styling with hardware-accelerated layouts and fluid responsiveness.

In ROCS Production Pipeline

Redux Toolkit

State
Predictable State Store

Cart state, cashier terminal session control, and reactive POS order synchronization.

In ROCS Production Pipeline

Lucide React

Assets
Vector Icon System

Clean SVGs maintaining minimal bundle footprints across devices.

In ROCS Production Pipeline

Zod

Type Safety
Boundary Schema Validation

Strict runtime schema parsing ensuring valid objects enter the application boundary.

In ROCS Production Pipeline
Full-Stack Offline-First Resilience
If internet drops mid-shift, Dexie.js + Service Workers queue orders locally, automatically syncing to AWS RDS when restored.
Zero Order LossSub-100ms Latency
GenAI Automation Impact

Model the 99% Operational Reduction

Based on the AWS EventBridge + Lambda + Amazon Bedrock (Claude) pipeline engineered at Amazon.

Monthly Manual Tickets:100 tickets
Avg. Engineer Time per Ticket:45 minutes
How the Pipeline Operates:

EventBridge catches tickets instantly, triggers a Python Lambda function that structures the prompt, asks Amazon Bedrock to categorize and resolve issues using Claude, then auto-updates the ticketing API.

Hours Saved
74 hrs
Monthly (99% of 75 original hrs)
Reclaimed Value
$4,826
Estimated monthly operational savings
Leadership & Track Record

Professional Experience

Over a decade of leadership and systems engineering at Amazon driving measurable outcomes.

Full Stack Web Apps Business Analyst

Amazon
Virtual Location, WA•May 2020 – April 2026
Milestone 01
Engineered high-scale serverless systems and spearheaded an automated GenAI pipeline eliminating 99% of manual operational effort.

Key Deliverables & Achievements

  • Overhauled legacy ticket processes with an automated pipeline utilizing AWS EventBridge, Lambda (Python), Amazon Bedrock (Claude), and internal Ticket APIs, eliminating 99% of manual overhead.
  • Modernized deployment pipeline by transitioning unsupported legacy packages to AWS CDK for self-mutating CI/CD pipelines, guaranteeing maintainability.
  • Collaborated with Senior SDEs to ship front-end components using React & Redux store alongside Java middleware APIs to streamline training planning.
  • Mentored new engineers via weekly ramp-ups and bi-weekly architecture sessions; introduced code review protocols resulting in a >20% decrease in deployment failures.
  • Developed and maintained a Global Executive Dashboard using React.js, Node.js, and AWS Cloud services, empowering network leaders with real-time OT/VTO visibility.
  • Automated ETL workflows using AWS Glue and custom SQL queries to process high-volume datasets into AWS RDS, securing 100% data consistency.
  • Revamped a legacy real-time monitoring web application from JS/EC2/Java to modern React.js and AWS SDK/Node.js, cutting maintenance overhead by 50% while boosting runtime performance by >30%.
#AWS Bedrock#EventBridge#Lambda#AWS CDK#React#Node.js#Python#Redux#AWS Glue#RDS

Senior Workflow Analyst

Amazon
Virtual Location, WA•Feb 2017 – May 2020
Milestone 02
Transformed manual data consolidation into real-time operational reporting engines and spearheaded network-wide resource planning.

Key Deliverables & Achievements

  • Streamlined planning and reporting workflows using Excel Power Query connected directly to underlying data sources, converting manual sheet updates into a one-click automated dashboard.
  • Spearheaded bi-weekly strategic planning forums with operational leaders across the network to dynamically reallocate resources to emergent priorities.
  • Mentored junior team members on departmental data workflows, facilitating career advancements that yielded 3 conversions to permanent positions.
#Data Modeling#ETL Reporting#Resource Optimization#Capacity Planning#Process Automation

Customer Service Manager

Amazon
Virtual Location, WA•Jan 2014 – Feb 2017
Milestone 03
Led cross-functional teams of 6–15 associates delivering world-class customer experience through data-driven continuous improvement.

Key Deliverables & Achievements

  • Led high-performing teams of 6–15 associates, leveraging granular metric tracking to coach talent, resolve critical escalations, and maintain premier service standards.
  • Identified recurring operational bottlenecks through longitudinal trend analysis and executed targeted remediation initiatives that raised team satisfaction scores.
  • Cultivated a persistent culture of psychological safety, continuous process improvement, and rigorous customer-first decision making.
#Leadership#Escalation Management#Operational Excellence#Continuous Improvement
Core Competencies

Skills & Technology Matrix

AWS Cloud, Full Stack, Data & GenAI pipelines.

AWS Cloud Infrastructure

Expert

Lambda, API Gateway, S3, RDS, DynamoDB, CloudFront, Route53, IAM, CloudFormation.

AWS CDK (Infrastructure as Code)

Expert

Self-mutating pipelines, multi-stack orchestration, reproducible cloud environments.

GenAI & LLM Orchestration

Advanced

Amazon Bedrock (Claude), prompt engineering, EventBridge automated GenAI pipelines.

React 19 & Next.js 16

Expert

App Router, SSR, Server Actions, responsive UI architectures, modern state patterns.

TypeScript & Node.js

Expert

Strict typing, modular APIs, enterprise middleware, asynchronous microservices.

Python Serverless

Advanced

AWS Lambda Powertools, Pydantic strict schemas, event-driven handlers, PyJWT.

Data Engineering & AWS Glue

Advanced

ETL pipelines, schema validation, batch jobs, automated ingestion to AWS RDS.

SQL & Relational Databases

Advanced

PostgreSQL, MySQL, indexing strategies, strict parameterized queries, schema design.

NoSQL Data Stores

Expert

Amazon DynamoDB, single-table design concepts, key-value document stores.

CI/CD & DevOps Automation

Expert

Turborepo, pnpm workspaces, GitHub Actions, automated test suites, CDK deploys.

Offline-First & PWA Architecture

Advanced

Service Workers via Workbox, Dexie.js (IndexedDB), caching strategies for POS.

Automated Testing & Quality

Advanced

Vitest, Jest, Amazon Hydra, React Testing Library, strict linter enforcement.

Ready to Build Resilient Cloud & AI Systems?

Whether you are designing enterprise serverless microservices, automating complex SDLC pipelines with GenAI, or deploying offline-resilient web applications—let's connect.