Murali Krishtna

A well-rounded Software Engineer with 4+ years of experience building scalable systems across FAANG and early-stage startups. Backend-leaning but full-stack capable, with a track record in designing high-traffic APIs, distributed systems, and shipping end-to-end. I approach software as an engineering discipline - from design, testing, operability, etc all the way till business impact.

Software Development Engineer at Pavepal.ai (2025-04 – 2025-08)

• Transformed a barebones HTML+JS proof-of-concept into a production-grade full-stack application used by live clients.
• Established a structured development workflow across dev/beta/prod/etc environments with full CI/CD pipelines. Evaluated and selected the entire tech stack (MongoDB, Next.js, CDN, OAuth providers, etc.) based on current and future requirements.
• Built the backend end-to-end via AWS CDK including OAuth, S3, API Gateway, MongoDB (setup+scripts), and 4 APIs to deliver road quality and defect data based on client requirements.
• Built the frontend with CDN integration, custom JWT authentication/refresh logic with Cognito, and 2 additional business UX features to render defects on maps.

Software Development Engineer II at Amazon (2022-01 – 2024-08)

• Built the Pickup Buybox on Amazon's Product Page, developing the frontend, backend and event-driven data systems, driving a 10% uplift in pickup orders (˜10K/day)
• Implemented a solution with DHL to validate DHL customer-ids of Amazon.de customers shipping to DHL locations, preventing incorrect entries and eliminating ˜2K failed deliveries monthly in Germany
• Designed a low-latency (˜20 ms), high-traffic (4K+ requests per second) API to display the availability of nearby Pickup Locations in Checkout, invoked every time an eligible customer enters checkout.
• Mentored junior engineers and interns on tasks and career development. Conducted ˜10+ interviews and assessed various system design decisions.

Software Development Engineer I at Amazon (2020-07 – 2022-01)

• Designed and implemented a highly performant, core API to retrieve (driving-distance or ML-based) Pickup Locations, handling 200+ calls per second with a sub-150ms latency constraint.
• Centralized partner-specific configurations used across multiple teams into a single data store, by creating a common access library and a microservice for gated operations, reducing manual dev effort by ˜4 days per partner.
• Identified a critical delivery date gap blocking Prime's launch on Amazon.pl and led the solution development across 5 central teams and Amazon.pl leadership to deliver the fix, enabling the Poland Prime launch.
• Managed service readiness to handle higher loads on Black Friday and Prime Day events. Enabled dynamic distributed throttling across services to eliminate bot-related service overloads.

M.Sc in Computer Science – Simon Fraser University (2024 – 2026)

B.Tech in Computer Science – Amrita University (2016 – 2020)