Resume
Monika Singh
Monika Singh
Software Engineer — Seattle, WA
singhmonika0903@gmail.com · +1 (323) 847-4598
Summary
7+ years owning mission-critical fulfillment and delivery capacity systems at Amazon. Proven ability to scale platforms worldwide, prevent SLA-breaching deliveries, and drive automation that enables rapid, safe customer experience innovation. Deep experience with distributed logistics decision engines, operational guardrails, and real-time failure prevention.
Experience
Amazon — Software Engineer
Seattle, WA · 2018 – Present
Grocery Tech — Fulfillment & Capacity Systems (2018 – 2024)
- Scaled labor-aware delivery capacity platform across 600+ Fresh fulfillment centers and 2,000+ Whole Foods Market and third-party stores across US, EU, and India
- Unified fragmented capacity and ordering systems into a single capacity system for Fresh, Whole Foods, and partner grocery banners
- Designed spillover-based failure recovery, time-granular reservation system, and capacity lifecycle tracking — improving global availability +24%, cutting operational overrides –82%, and reducing late-delivery defects –16% across Amazon fulfillment centers
- Built SLA guardrails: delivery slot capping and emergency/scheduled closures to prevent overselling during storms, labor gaps, and vendor outages
- Led multi-team integration work with Routing, Delivery Experience, WFM Retail & Ops — ensuring consistent delivery-promise behavior across banners
- Drove legacy system retirement and migration improving runtime security, observability, and fault tolerance while reducing operational risk
- Mentored engineers, guided design reviews, and improved documentation literacy across orgs
Customer Engagement Tech — Conversational Platform (2024 – Present)
- Architected agent-driven automation testing for chat and voice-bot workflows using planning and execution agents
- Built secure test execution using AWS ECS with encryption for scenarios involving customer-contextual voice data
- Designed a secure, short-term context layer that maintains customer context across chat, voice, and key Amazon support pages — preventing resets when customers switch channels and enabling personalized support signals for partner teams
- Developed screenshot-based UI navigation resilient to changing component layouts and conversational flows
- Added CI/CD gating to detect and stop regressions before launch to customers
- Built React interface + DynamoDB storage enabling teams to run scenarios and track execution history without manual effort
- Supported partner teams launching UI customer service experiences by validating end-to-end flows before production rollout
Skills
Architecture: Distributed Systems · High Availability · Event-Driven Workflows
AWS: ECS · DynamoDB · S3 · CloudWatch · CloudFormation · Lambda
Languages & Frameworks: TypeScript · JavaScript · React · REST APIs
Domain: SLA Risk Mitigation · Capacity Modeling · Operational Automation · Observability
Education
M.S. Computer Science — University of Southern California
Last updated March 2025 · Maintained in markdown