Led backend design and AWS deployment with a focus on scalability enhancements for the company app while guiding junior engineersas a tech lead. Facilitated application observability by incorporating SigNoz leveraging Python, REST API, Docker, CI/CD, and DevOpsskills. Extract real-time insights into application functionality by optimizing performance monitoring and production issues identification.Devised Wombo Dream's feed system using GraphDB (Apache Tinkerpop Neptune), transitioning the app from image generation to aFacebook-like social platform, incorporating features like Like, Follow, Follow Feed, and Discover Section.• Achieved a 70% decrease in AWS costs by cutting expenditure from $1M to $300k monthly through backend stack optimization.• Drove revenue growth by deploying payment processing features, including premium subscriptions, Stripe integration,ordering, and billing through RevenueCat.• Developed backend systems for the Wombo Me app (link) and dream app (link) while leveraging proficiency with WebSocketfor real-time communication and enriched user experience.• Enhanced system performance through database size reduction and caching strategies integration for local and distributedRedis, resulting in faster data retrieval and minimized query load.• Decreased hardware requirements by implementing low-level code optimizations, introducing NoSQL databases, restructuringschemas, and refining code for asynchronous operations.

Managed virtual machine fleets by implementing platform features for enhanced scalability and resource optimization. Facilitated faster GuestOS deployments on Google Cloud Engine, ensuring timely security patches and OS feature updates for real-world customers.- Established a hermetic environment (link) utilizing Borg (link) for the GuestOS team, overcoming challenges associated with CI/CD pipelines for deploying custom Guest Operating Systems on Google Cloud:- Enabled testing and deployment despite complexities arising from OS updates and client-specific configurations, such as Ubuntu 20, Ubuntu 22, and Windows Server 10.

Led the learning enterprise team with expertise in Java, Python, Spark, Pig, Samza, and Kafka, overseeing the creation of a reporting API for learner activity. Created a Reporting API for the company’s learning platform, enabling external developers to access learner activity data. Maintained overall data integrity by shaping an email alerting mechanism for offline data flows, that notified stakeholders regarding any identified discrepancies.- Revamped content reporting with a nearline system implementation, automated data correction, scalable schema redesign, unified data generation logic, and dynamic report generation architecture.- Detected anomalies in daily data push jobs to Pinot- Deployed database storage of HTTP requests, streamlined testing processes, and upheld service isolation by engineering a record and replay-based test framework for REST services.- Architected an in-house workflow engine for payments, automating and decoupling business logic to enhance developer usability within the company's ecosystem.- Drove relevance optimization efforts for content and people search, managing hardware allocation and spam detection against SEO techniquesAccomplishments:- Attained a 40% increase in Click-Through Rate (CTR) and a 90% speed improvement through advanced search algorithm implementation for Voyager Typeahead and Search Page on LinkedIn.- Slashed deployment time from 2 weeks to 1 day by building an automated testing pipeline for reliable software releases.- Eliminated external dependencies and boosted service-level testing efficiency by pioneering unit test mocking semantics for mid-tier and backend services.- Fortified search quality for Content by employing BM25F-based scoring models and near duplication through Shingling.- Fostered global collaboration with designers, data managers, technical writers, and backend engineers to architect systems, streamline coding/debugging processes, onboard junior engineers, and execute roadmap scoping.

Worked as a part of Payments Platform - India , Amazon.Designed and implemented a workflow for automating the Change Management process at Amazon.

Worked as Software Developer on the project “Keyless-CheckIn” – it addresses the real estate visit automation market by intelligent security solutions and services- Worked extensively with various cloud telephony APIs like Amazon Ec2 to enable communication between the company’s product (keyless door GSM units) and a mobile through voice calls and SMS- Implementation of a web-based monitoring & control operations center

Developed Spare Inventory Management Software using PHP, HTML and JavaScript as front-end and MySQL as backend. The CRUD application allows users of different levels of authorization to keep track of Bill-Of-Materials and daily and weekly transactions of raw materials and products.Supervisor: Mrs Priya Morais e Nohora, Dy. Manager, Debugging Section, Production Unit- Active