Welcome to my work @Amazon 👋

All projects shown here are confidential.

All projects shown here are confidential.

Establishing Amazon GFT’s Brand Identity & Design Team

Establishing Amazon GFT’s Brand Identity & Design Team

By defining a cohesive brand identity and assembling a dedicated design team, Amazon GFT has enhanced cross-team collaboration, improved design consistency, and accelerated product development within the organization.

By defining a cohesive brand identity and assembling a dedicated design team, Amazon GFT has enhanced cross-team collaboration, improved design consistency, and accelerated product development within the organization.

Speakeasy: Standardized Communication at Scale

Speakeasy: Standardized Communication at Scale

By consolidating communication management from 5-8 individuals into a single system, Speakeasy ensures 24/7 global availability, reduces manual effort, and standardizes messaging for consistency and branding.

By consolidating communication management from 5-8 individuals into a single system, Speakeasy ensures 24/7 global availability, reduces manual effort, and standardizes messaging for consistency and branding.

Pub/Sub: Powering Real-Time Messaging at Scale

Pub/Sub: Powering Real-Time Messaging at Scale

Processing millions of messages per second with sub-millisecond latency, Amazon’s Pub/Sub system reduces system coupling by 90%, enabling seamless real-time communication across global data centers.

Processing millions of messages per second with sub-millisecond latency, Amazon’s Pub/Sub system reduces system coupling by 90%, enabling seamless real-time communication across global data centers.

Auriga: Automating Financial Data Accuracy

Auriga: Automating Financial Data Accuracy

Auriga has streamlined financial data validation, reducing manual reconciliation efforts by 50% and improving data accuracy across Amazon’s financial systems with automated anomaly detection and reporting.

Auriga has streamlined financial data validation, reducing manual reconciliation efforts by 50% and improving data accuracy across Amazon’s financial systems with automated anomaly detection and reporting.