Monika Singh

Software Engineer — Seattle, WA
singhmonika0903@gmail.com

Summary

Software engineer with 8+ years of impact at Amazon, including sole technical ownership of the grocery fulfillment capacity platform serving 2,600+ locations, 100+ engineering teams, and 10M+ weekly orders. Drove the consolidation of 5 fragmented systems into a single unified platform and scaled it from a 10-site pilot to a global standard — achieving 99.95% availability, 82% reduction in operational overrides, and zero SLA-breaching incidents over 6 years of 3x order volume growth. Currently leading AI-powered automation infrastructure for Amazon's conversational customer experience platform. Deep expertise in distributed systems, authorization architecture, and cross-org technical leadership.

Experience

Amazon — Software Engineer

Seattle, WA · 2018 – Present

Customer Engagement Tech — Conversational Platform (2024 – Present)

Identified gap in regression safety for conversational AI products; architected agent-driven automation testing platform now gating all production rollouts for chat and voice-bot experiences across partner teams — preventing customer-facing regressions at launch
Designed cross-system customer context layer unifying state across chat, voice, and web touchpoints, enabling personalized experiences at scale
Built screenshot-based UI navigation resilient to layout drift, eliminating a major source of test flakiness in rapidly evolving conversational flows
Established CI/CD quality gate integrated into partner team pipelines; reduced manual testing effort and accelerated delivery velocity for new conversational experiences
Built React + DynamoDB interface enabling non-engineering teams to define, run, and track test scenarios independently

Technologies: TypeScript · React · AWS ECS · DynamoDB · AI agents · WebSockets · Audit logging

Grocery Tech — Fulfillment & Capacity Systems (2018 – 2024)

As sole technical owner, drove the consolidation of 5 fragmented capacity systems (Amazon Fresh, Whole Foods, and 3rd-party partners) into a single unified platform — a decision I scoped, architected, and led through execution — now serving 600+ fulfillment centers and 2,000+ stores across US, EU, and India
Scaled platform from 10-site pilot to 2,600+ global locations while sustaining 99.95% availability through 3x order volume growth; zero SLA-breaching incidents over 6 years
Improved global availability +24%, reduced operational overrides –82%, and cut late-delivery defects –16% through architectural guardrails and automated capacity lifecycle management
Collaborated with Routing, Delivery Experience, WFM, Retail, and Ops to define delivery-promise behavior affecting 10M+ weekly orders; capacity modeling standards I established were adopted by transportation, inventory, and labor planning teams
Designed RBAC authorization system using AWS IAM governing which operations, retail, and engineering teams could modify capacity settings, trigger emergency closures, or override slot caps — based on location and escalation tier
Architected multi-tenant security model isolating Fresh, Whole Foods, and partner store access while enabling cross-banner workflows for authorized users
Built comprehensive audit logging infrastructure tracking all operational changes across 2,600+ stores — capturing actor, action, timestamp, and rationale for compliance and incident investigation
Migrated 8 high-risk legacy systems to modern stack; reduced operational incidents by 60%
Platform serves 100+ engineering teams as the authoritative capacity decision layer for Amazon grocery

Technologies: Distributed systems · Event-driven architecture · AWS (IAM, Lambda, DynamoDB, CloudWatch, Secrets Manager) · RBAC design · Audit logging · Authorization policy design

Infosys — System Engineer

Pune, India · Jul 2014 – Jun 2016

Selected as 1 of 3 engineers to join the Infosys Automation Platform initiative
Built Selenium-based automated testing framework adopted across offshore testing teams, reducing manual test execution effort significantly
Automated daily database reporting and manual provisioning tasks, cutting effort by 39% and 43% respectively
Provided Tier III (highest-level) support for critical escalations at an international telecommunications client
Designed and implemented web services for order provisioning in telecom operations

Technologies: UNIX · JavaScript · jQuery · AJAX · Oracle 11g · Selenium

Personal Projects

Fifi & Mo — Pet Care Management Platform

Live app: fifi-and-mo.vercel.app

Architected offline-first full-stack application using Next.js 15 with server-side rendering, IndexedDB for local persistence, and ApexCharts for interactive analytics
Integrated Claude API to extract structured data from vet invoices and vaccination records, reducing manual data entry by 80%
Deployed to production on Vercel with responsive design across device types
Built entirely using AI-assisted development (Claude Code, Claude API)

Technologies: Next.js 15 · TypeScript · Claude API · IndexedDB · ApexCharts · Vercel

WebApp to Mobile Wrapper — Cross-Platform Deployment Tool

React Native framework (ongoing)

Building bridge layer for web-to-native communication with native API integration (camera, push notifications, storage)
Implementing offline-first caching strategy for improved mobile performance

Skills

Authorization & Security: RBAC design · Multi-tenant access control · Permission management systems · Audit logging · Compliance infrastructure

AWS: IAM · Cognito · ECS · Lambda · DynamoDB · S3 · CloudWatch · Secrets Manager · API Gateway · STS

Platform Architecture: System consolidation · Distributed systems · Event-driven architecture · High availability · Global scale · SLA risk mitigation

AI/ML: AI agents · Prompt engineering · Document extraction · AI-assisted development

Languages & Frameworks: TypeScript · JavaScript · React · Next.js · Java · Node.js

Leadership: Technical decision-making · Cross-functional collaboration · Design reviews · Org-wide standard setting

Education

M.S. Computer Science — University of Southern California (2016 – 2018)
Coursework: AI, Machine Learning, Algorithms, NLP, Distributed Systems

B.Tech Computer Science (2010 – 2014)