# Kartikk Pandian > Amazon Alexa SDE | Full Stack Dev | GenAI Location: San Francisco, California, United States Profile: https://flows.cv/kartikk I’m a full-stack engineer focused on distributed systems, high-throughput backend architectures, and production-grade AI services. At Amazon, I’ve owned and contributed to LLM-powered experiences serving 12M+ users at sustained scale (~7000 TPS, 99.99% uptime). My work spans service architecture, resilience engineering, API design, and architectural proposals that materially improve scalability and operational efficiency — including redesigning polling systems into push-based models that reduced sustained load from ~7000 TPS to ~800 TPS org-wide. I’m particularly interested in system design, reliability engineering, and scalable AI infrastructure, and I enjoy solving problems that sit at the intersection of product impact and deep backend architecture. ## Work Experience ### Software Development Engineer @ Amazon Jan 2021 – Present | Sunnyvale, CA ● Owned architecture and delivery of an LLM-powered calendar experience serving 12M+ Alexa users at ~7000 TPS with 99.99% uptime ● Proposed a push-based update architecture to replace polling, reducing sustained load from ~7000 TPS to ~800 TPS org-wide and significantly improving scalability ● Set up and regionalized the Calendar Expert, authored instructions for new features, and partnered with science to improve top-level date/time understanding and parsing accuracy ● Architected and productionized a distributed, fault-tolerant Remarkable Alexa service, establishing reliability patterns adopted across the organization ● Implemented resilience patterns (caching, retry/backoff, fault isolation) to enable graceful degradation ● Defined and implemented externalized service APIs and front-end data contracts, enabling scalable integration patterns across backend and mobile clients ● Led a team of 5 engineers to deliver recurring calendar events, increasing customer retention by 38% ● Enabled EU and FE expansion of the LLM-powered Alexa calendar service by resolving ZAZ migration, provisioning, and KMS dependency blockers ● Architected the React Native data layer, transitioning from calendar-only retrieval to a unified calendar-and-reminders model with caching, pagination, and real-time updates ● Redesigned the metrics pipeline, improving reporting and reducing recurring operational load by 14% ● Improved onboarding conversion by 8% by fixing pain points in the OAuth linking funnel ### Software Engineer @ Shipt Jan 2018 – Jan 2021 | San Francisco, CA ● Architected a promotions platform that increased order volume by 18% and AOV by 8% ● Owned instrumentation-led performance optimization, reducing memory by ~42%, improving render latency by ~55%, accelerating time to interactive, and shrinking APK size by 2.7x (46 MB to 17 MB) ● Architected and institutionalized the Android CI/CD pipeline, establishing the deployment standard across multiple mobile applications ● Integrated Google Pay checkout, partnering with Google for certification and establishing a reusable foundation for future payment methods ● Architected the white-label mobile platform, generating six-figure revenue and implementing automation scripts that streamlined and scaled partner onboarding ● Built deep-linking and campaign attribution infrastructure, enabling scalable growth and marketing integrations ● Spearheaded the push to React Native which drastically increased our ability to adapt to changing business needs ### Full Stack Engineer @ Drizzle Sports Jan 2015 – Jan 2016 | Chennai Area, India ● Led the design and development of an Android application to gamify amateur sports ● Built a prototype which had feature parity with our production application using React Native ● Refactored the codebase to follow reactive design patterns by integrating RXJava into the codebase ### Software Engineering Intern @ Chennailive 104.8 FM Jan 2014 – Jan 2014 | Chennai Area, India ● Built an Android application which checks the user's social media profiles like Facebook and Twitter for usage of certain hashtags and rewards them based on that ● Used AWS to deploy the required backend to serve the front-end application ### Research Intern @ Indian Institute of Technology, Madras Jan 2014 – Jan 2014 | Greater Chennai Area ● Worked on designing a Micro-Kernel for a custom SoC based on the RISC-V instruction set architecture ## Education ### Master’s Degree in Computer Science University of Florida Jan 2016 – Jan 2018 ### Bachelor’s Degree in Bachelor of Engineering (B.E.), Electronics and Communication Engineering Anna University Chennai Jan 2011 – Jan 2015 ### High School Chettinad Vidyashram ## Contact & Social - LinkedIn: https://linkedin.com/in/kartikkr - GitHub: https://github.com/kartikk --- Source: https://flows.cv/kartikk JSON Resume: https://flows.cv/kartikk/resume.json Last updated: 2026-03-22