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.

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.

• 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.

• 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.

• 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.