Jaya Meena

Built backend systems that directly impacted revenue and scalability.

• Designed and built a subscription migration system from scratch, letting customers seamlessly move from Stripe / PayPal to HubSpot's native subscription platform — owning the end-to-end architecture from data ingestion to migration workflows and validation.
• Migrated 1,000+ active subscriptions in a month, contributing to increased revenue and system consolidation.
• Built Spark data pipelines processing 1M+ records daily, optimizing query performance by ~30%.
• Engineered Kafka-driven communication for reliable, scalable, fault-tolerant data flow across services.

Worked on Amazon EMR Serverless — large-scale distributed systems powering interactive data workloads.

• Designed and implemented the resource allocation & orchestration layer enabling interactive, low-latency Spark workloads on EMR Serverless.
• Built an asynchronous container orchestration system that dynamically provisions resources by workload demand, balancing fast startup with efficient utilization.
• Implemented DNS-based networking for seamless communication between distributed containers, and built microservices orchestrating resource provisioning for Spark.
• Designed centralized logging & debugging with S3 and CloudWatch, and cut redundant validation logic to increase validation speed by ~70%.

Combined machine learning with developer tooling to improve design workflows.

• Built an ML-powered design validation platform for Figma, reducing manual review effort by ~90%.
• Designed graph-based algorithms to extract UI components and hierarchical relationships from design files.
• Trained a deep-learning model achieving 98% accuracy detecting UI inconsistencies in color, layout, and typography — enabling scalable validation across screens.