Neha Bindle

AI-Powered Intelligent Automation System

Architected multi-agent AI system using Amazon Bedrock (Claude Sonnet) with supervisor-collaborator architecture, automating 80% of manual operational workflows with 95%+ accuracy. Built specialized agents for different ticket types (Price Discrepancy, Risk Reminder) with action groups in Java and Python providing tool capabilities. Integrated with multiple external APIs including PCE, TimeMachine, Tickety API, and Slack. Implemented CloudAuth integration for secure API authentication and comprehensive CDK infrastructure, including VPCs, IAM policies, and EventBridge rules. Created monitoring dashboards and shadow testing framework for validation, processing hundreds of automated decisions daily.

Technologies: AWS Bedrock, Lambda, Python, Java, CDK, EventBridge, Secrets Manager, CloudAuth

Enterprise Infrastructure Modernization (Amazon's tier-1 service's Regional Migration)

Led 9-month initiative migrating 8 critical tier-1 services (checkout, product catalog, revenue recognition, pricing systems) from Dublin to European regions with zero-downtime, achieving 50% regional dependency reduction and 99.9% availability. Coordinated migration of tier-1 upstream and downstream dependencies including data services, inventory systems, and pricing engines with cross-region connectivity during transition. Created shadow testing methodology using traffic replication framework to validate functionality with comprehensive verification strategies. Developed monitoring dashboards for real-time validation and designed cross-region load balancing solutions. Scaled systems to support 100M+ customers globally through optimized infrastructure and multi-region deployments.

Technologies: Traffic Replication Framework, AWS Multi-region architecture, SQS, Shadow Testing, Java

Strategic Revenue Recognition System Transformation (ASC606 compliant Accounting Model)

Redesigned Amazon's global order processing infrastructure for ASC 606 compliance, achieving 78% global coverage across four regions. Led implementation of revenue recognition accounting model for refund and reversal processing, supporting 11 different refund use cases including Standard Refund, Over Refund, and Instant Refund scenarios. Integrated multiple financial systems including ledger systems, payment allocators, order accounting services, and financial aggregation platforms. Implemented tracking mechanisms for financially significant events across distributed systems. Eliminated manual accounting adjustments through automated revenue recognition, processing 10M+ daily transactions with 99.5% reliability and 99.9% availability. Built real-time event-driven APIs ensuring data consistency across multi-region deployments with sub-second response times.

Technologies: Java, Revenue Recognition Systems, Ledger Systems, Financial Accounting Platforms, Event-driven architecture

Enterprise Payment System Decoupling (PSAA Gift Card Integration)

Eliminated O(B, P) scaling complexity through innovative service architecture, reducing new payment method launches from 23 developer weeks to minimal configuration. Led comprehensive integration of Gift Card payments with Payment Service Account Allocator, implementing different accounting treatments for 1st-party and 3rd-party merchants. Built separate allocators for different merchant use cases with custom policy decision engines, evaluators, and allocation components. Created transfer logic for payment receivables across merchant types and implemented proper movement paths in ledger systems for payment accounting. Optimized database queries and implemented distributed caching strategies, reducing query latency by 40% through strategic indexing.

Technologies: Java, Payment Processing Systems, Ledger Systems, Financial Accounting Platforms, DynamoDB, Distributed Caching

Region Flexibility for Transportation Services (Data Migration)

Led migration of transportation event processing service from Dublin to European regions with zero-downtime data migration for DynamoDB tables. Implemented data migration tool for seamless transition (preferred over Global Tables) with cross-region message routing for SNS/SQS and de-duplication strategies. Configured infrastructure for new regional deployment maintaining service continuity throughout transition. Additionally led migration of AWS account data from Data Warehouse to Data Lake using Redshift Spectrum for cost-effective data access, meeting executive directive to eliminate data copying by Q2 2021 deadline.

Technologies: DynamoDB, Data Migration Tools, SNS, SQS, Redshift Spectrum, Data Lake, Multi-region architecture

Alexa Media Portability Service

Architected microservice enabling seamless media casting between Alexa devices and third-party platforms (Spotify, Fire TV) with sub-2 second latency. Developed complex solution for casting Spotify from Echo to VOX devices using Java Strategy design pattern to overcome media portability challenges. Implemented blocking mechanisms for FireTV devices and resolved critical UX issues in device selection. Implemented real-time streaming capabilities with WebSocket-based APIs supporting dynamic device grouping and real-time transport controls for millions of users. Fixed user inactivity timer issues, created ~100 test cases for AlexaMediaService APIs, and migrated Hydra integration tests from Lambda to Fargate. Enabled server-side encryption for SQS, SNS, and Kinesis resources.

Technologies: Java, Strategy Pattern, AWS Lambda, Fargate, WebSockets, Media streaming protocols