Professional Experience
Building high-reliability systems at scale — from Amazon's finance infrastructure to AI-powered automation.
Amazon
Software Development Engineer I
VendorPaymentSystem
High-reliability payment flows and controls across Processing, Authorization, and Payment domains
- •Multi-million dollar transaction processing
- •99.99% uptime SLA
- •Cross-team integration
InvoiceIngestionTeam
Ingestion, enrichment, and validation workflows at scale
- •Millions of invoices processed annually
- •Automated enrichment pipeline
- •Data quality improvements
SubmitInvoiceService
Unified service for invoice submission across channels (email, API, portal)
- •Multi-channel normalization
- •Reduced submission errors
- •Improved vendor experience
Unified Multi-channel Invoice Ingestion
Email/API/portal pipelines with normalization and enrichment
- •Consolidated ingestion points
- •Consistent data schema
- •Faster processing times
Amazon
Software Development Engineer Intern
Data Comparator Tool
Deterministic diffing tool for service migration validation
- •Enabled safe service migrations
- •Automated data validation
- •Reduced migration risks
Invoice Matching Service
Rules and heuristics engine to link POs, invoices, vendors, and payments
- •Improved matching accuracy
- •Reduced manual reconciliation
- •Faster payment cycles
Key Takeaways
What I Learned
Reliability is non-negotiable. Working on systems that process millions in payments taught me the importance of error handling, retries, monitoring, and graceful degradation.
Scale changes everything. Solutions that work for thousands of records fail at millions. I learned to think about data structures, indexes, and architectural patterns early.
Cross-team collaboration is a skill. Large systems require clear APIs, documentation, and communication. I learned to design for other teams, not just my own.