Abhinav Jayanthy

Health Tech

• Designed, developed, and maintained the Wesper iOS application using Core Bluetooth, UIKit, and various Apple frameworks, delivering a seamless experience from concept to launch.
• Developed and scaled the backend architecture to process data from homegrown hardware, enabling the system to handle 250+ daily active users and 1 GB of data per user per night with rapid data processing.
• Reduced report generation time from 3 hours to 1 hour, and then to just 30 minutes through optimization of data processing pipelines and architecture improvements.
• Architected and implemented an event-driven system using AWS SQS, SNS, Lambda, and Amazon EventBridge, which significantly enhanced system reliability, scalability, and responsiveness.
• Built a log aggregation system using CloudWatch EMF (Embedded Metric Format) to collect custom metrics, set up metric alarms, and create health dashboards, enabling proactive monitoring of the entire system across distributed services.
• Developed a customizable reporting infrastructure using Google Docs, allowing for both single-night and multi-night reports, enabling users to tailor reports to their specific needs. This resulted in a 15% increase in user satisfaction due to the flexibility and adaptability of reports.
• Designed and implemented a Clinical Metrics Repository and tagging mechanisms for data organization, as well as feature flagging systems for safe, controlled deployment of new features and updates.
• Collaborated with cross-functional teams to ensure that the iOS app, backend services, and web app were tightly integrated, providing a smooth user experience across all platforms.

Key Technologies: Python, TypeScript, JavaScript, React, AWS, Cloudwatch, EC2, ECS, Fargate, AWS Lambda, EFS, RDS, iOS,Swift

Media Labs

• Proven expertise in developing Alexa skills and flash briefings for NBCU brands
• Developed and launched 4 Alexa skills and flash briefings, achieving 4.0-star average customer ratings across platforms, attracting 1,000+ daily active users.
• Utilized Node.js and AWS services (Lambda, CloudWatch, DynamoDB, SNS) to create scalable and efficient Alexa experiences.
• Spearheaded the integration of AWS Lambda functions and monitoring tools
• Worked closely with cross-functional teams at Amazon, DreamWorks, and Universal Gaming, ensuring smooth collaboration and delivery.
• Leveraged Mocha and Chai for unit testing, improving the reliability and uptime of the applications.
• Configured Travis CI/CD pipelines for efficient code deployment to AWS

CNBC:

• Worked closely with product managers and designers to help develop an iOS application
• Key member in introducing Audio features for CNBC mobile application including Podcasts, Live Audio using Air Play 2, and Car Play.
• Introduced Siri Shortcuts for easy access to watchlist, prime videos, daily markets and many more.

NBC Sports:

• Played a key role in collaborating with the NBC Sports team to integrate podcasts and live audio streaming into the mobile experience, expanding the app's features.
• Optimized mobile streaming features for both AirPlay 2 and CarPlay, contributing to user satisfaction and app store rating improvement.