# Somesh Singh > Software Development Engineer II (L5) at Amazon (Gen AI focus) Location: San Francisco Bay Area, United States Profile: https://flows.cv/somesh Hi! I'm Somesh. I have experience in building distributed microservices from scratch taking care of E2E delivery including choosing computes(Lambda, EC2, Fargate, etc.), monitoring, alarming, runbooks, etc. I also have hands on experience in generative AI including using AWS Bedrock to call LLM APIs, prompt tuning, caching prompts, vector databases, choosing SLMs vs. LLMs etc. I'm passionate about learning new tech, reducing operational load on teams, and making the systems faster and more scalable. ## Work Experience ### Software Development Engineer II (L5) @ Amazon Jan 2024 – Present GENERATIVE AI CONVERSATION EXPANSION • Spearheaded initiative to integrate generative AI and prompt tuning into Astro’s voice pipeline to move from fixed “golden set” utterances to an open-ended, conversational model. • Led a cross-domain team of 4 engineers (with principal-engineer mentorship) to design new NLU (Natural Language Understanding) components supporting conversational context across domains including monitoring, reminders, emergency calling, and media capture. • Partnered with product and applied science teams to identify high-frequency customer intents, refine training data, and map new utterances into canonical actions. • Developed validation pipelines and regression suites with scenarios to ensure quality and accuracy across the NLU dataset. • Achieved ~10× increase in supported customer utterances, maintaining parity with Alexa Plus devices and delivering a significantly more conversational, natural customer experience. VOICE REQUEST PIPELINE OPTIMIZATION • Drove end-to-end redesign and optimization of Astro’s voice-request routing pipeline that powers all customer interactions. Analyzed latency bottlenecks across multiple microservices, refactored routing logic, and implemented parallelized stabilization flows. • Partnered closely with product managers and QA to validate customer-facing impact, improving reliability and responsiveness across all supported voice commands. • Reduced average response latency by 20 % (~120 ms) and eliminated inconsistent or failed responses that previously caused user friction, directly improving customer sentiment as reflected in public feedback forums. ### Software Development Engineer I (L4) @ Amazon Jan 2022 – Jan 2024 RING - ASTRO INTEGRATION • Led design and implementation of cross-product integration between Astro and Ring home security systems, enabling Astro to respond intelligently to Ring events such as motion detection, glass breaks, and alarms. • Designed an SNS/SQS-based event orchestration layer that synchronizes system modes (Home, Away, Disarmed) between Ring and Astro to ensure consistent, real-time behavior. • Collaborated with product, QA, and security teams and mentored two junior engineers through implementation and testing. • The integration improved situational awareness and led to a measured customer satisfaction increase from 5.5 → 6.2, verified through internal telemetry and customer feedback analysis. VOICE INFRASTRUCTURE RE-ARCHITECTURE • Led modernization of Astro’s legacy, manually scaled speech-service infrastructure to an AWS-native, secure, and fully automated platform. The legacy design lacked elasticity and documentation, causing slow deployments and scaling issues during surges. • Managed a 3-engineer team to re-architect the service using ECS, Lambda, and CloudFormation, introducing automated canary testing, full CI/CD integration, and comprehensive monitoring. • Reduced release cycle time by ~50 % for small-scale deployments (2 days -> 2 hours QA validation) and introduced EC2 autoscaling, removing the need for manual scaling during high-traffic events and holidays. ### Software Engineer I @ CDK Global Jan 2021 – Jan 2022 | San Francisco Bay Area • Designed and developed single-page responsive applications using React and JavaScript, enhancing user experience. • Created and maintained microservice APIs for seamless application functions and integrations. • Collaborated in agile meetings, ensuring alignment on product requirements and ongoing maintenance. • Developed unit tests and improved code security through Black Duck/Coverity analysis, maintaining high code quality. ### Software Engineer @ CDK Global Jan 2020 – Jan 2020 | San Jose, California, United States • Developed and deployed 10 React components for the Hailer app, enhancing ride management for dealerships. • Implemented reducers and actions for state management, optimizing the user experience. • Contributed to backend API development, querying data from AWS DynamoDB and updating tests. • Collaborated on code reviews, PRs, and package updates, ensuring code quality and application performance. ### Software Engineer @ DTN Jan 2018 – Jan 2020 • Developed and maintained web applications through front-end and back-end programming using HTML, CSS, JavaScript, and PHP. • Utilized Agile methodology in JIRA for project management, ensuring efficient development cycles. • Trained new developers on internal tools and frameworks, enhancing team productivity and knowledge sharing. ### Office Assistant @ Arizona State University Jan 2017 – Jan 2018 • Processed incoming data, organizing and classifying documents to streamline departmental operations. • Established and analyzed employee Benefit/Leave/Retirement records using Excel for accurate data management. • Communicated effectively with clients and employees to address grievances, enhancing customer satisfaction. ## Education ### Bachelor of Science - BS in Computer Science(Software Engineering) Ira A. Fulton Schools of Engineering at Arizona State University ### Minor in Business W. P. Carey School of Business – Arizona State University ## Contact & Social - LinkedIn: https://linkedin.com/in/somesh-singh --- Source: https://flows.cv/somesh JSON Resume: https://flows.cv/somesh/resume.json Last updated: 2026-03-22