Hello world

I’m Naqushab Neyazee, a Software Development Engineer II at Amazon. I work on building large-scale backend systems and AI-powered workflows that help detect fraud, analyze documents, and process high-volume financial and operational data.

Employment

• 2022-Present - Amazon
• 2016-2022 - Adobe

Skillset

Over the years I have worked on distributed backend systems, cloud-native data platforms, and more recently on GenAI-based services for document analysis and fraud detection. I enjoy designing reliable systems, simplifying complex workflows, and building scalable APIs.
These are the main technologies I have experience with:

Frameworks

• Microservices Architecture
• Event-Driven Systems
• AWS Step Functions
• AWS ECS
• AWS Bedrock
• AWS AgentCore

Languages

• Java
• Python
• Kotlin
• TypeScript
• C++

Development Tools

• Amazon AgentCore
• Amazon Strands
• Amazon OpenSearch
• AWS Lambda/ECS/Fargate
• Amazon S3
• DynamoDB
• CI/CD Pipelines
• Docker
• Git

Expertise

• GenAI Applications
• Document Intelligence
• Fraud Detection Systems
• Large-Scale Datastores

What I’ve Worked On

At Amazon, I work on systems that analyze financial and operational data at large scale. My work involves building APIs, ingestion pipelines, and automation workflows that help teams detect anomalies, validate documents, and reduce manual investigation effort. I also work on integrating AI models into production systems in a secure and reliable way.

At Adobe, I worked on document technologies used by millions of users. My work focused on analyzing the structure of PDF documents, building data processing pipelines, and improving system performance and reliability across platforms.