Ananya Jain
SWE @ Google || IIIT Delhi CSE
- Role
- Swe Iii at Google
- Location
- New Delhi, DL, IN
- LinkedIn followers
- 500 followers
About Ananya Jain
Software Engineer at Google passionate about building robust and scalable data systems within the Google Cloud security ecosystem. I specialize in compiler technologies, distributed systems, and performance optimization.I have a proven track record of leading complex projects from design through launch, collaborating across engineering, product, and UX teams to deliver significant improvements in system efficiency, reliability, and functionality. My work has included major compiler migrations, real-time data processing enhancements, and substantial latency reductions in critical data pipelines.I am an art enthusiast and try to mix creativity, design and Technology in whatever I do.In my free time, you would find me buried in a book or splashed with colours!
Experience
Swe Iii
Aug 2023 — Present · Bengaluru, IN
Search Functionality EnhancementLeading the technical design and implementation to expand search tool capabilities to support wider date ranges. This includes prototyping, cross-functional collaboration with product and design, and authoring the main technical plan. Early testing has helped identify potential issues and gain multi-team alignment on the path forward.Core System Modernization & MigrationLed the migration of core data features to a new compiler infrastructure, involving full system design and implementation. Ensured support for existing functionalities like data export and joins. Collaborated across teams to resolve bugs, delivering the complex migration ahead of schedule, enhancing system maintainability and future capabilities.Data Export and Integration EnhancementsDesigned and launched a feature for exporting search data to Data Tables. This involved full-cycle development, multi-team alignment, and implementing rate-limiting to protect backends. Launched a valuable user workflow and significantly increased bulk data creation capacity through proactive performance optimizations.Real-time Event Processing SystemEngineered a robust PubSub-based system for high-volume real-time event processing. Designed event handling, optimized resource use, and solved complex database synchronization issues with a heartbeat monitor. Launched an efficient, cost-effective system proven to handle large data volumes reliably.Data Pipeline Performance OptimizationDrove initiatives to boost data pipeline performance and reliability. Analyzed batch processes, implementing optimizations like data sharding and improved read patterns. Achieved a 10x reduction in detection latency,>80% better data availability, and cut pipeline runtime by ~50 minutes.
Education
Indraprastha Institute of Information Technology, Delhi
Bachelor of Technology - BTech with Honors. Minor in Computational Biology, Computer Science
2019 — 2023
Carmel Convent School - India
Science
2019
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