• Advanced Atlan’s enterprise readiness by designing and launching an official Microsoft Teams Marketplace App, replacing legacy custom app.

• Architected a production-ready, highly available and scalable distributed microservice enabling the Teams Marketplace app integration across Atlan's multi-tenant architecture.

• Replacing the legacy custom app with marketplace-based installation app, reducing setup integration time and onboarding friction by ~95% (days → minutes) for enterprise customers.

• Engineered secure cross-cloud network communication between Azure and AWS by configuring a site-to-site VPN, enabling event forwarding from Azure services to a microservice deployed / running on AWS EKS cluster.

• Implemented the Saga pattern with an event-driven architecture using Kafka to orchestrate distributed transactions and maintain data consistency across microservices.

• Led end-to-end infrastructure provisioning and deployment across staging and production environments using Kubernetes, Helm, and ArgoCD with services across AWS and Azure.

• Provisioned multi-cloud infrastructure including AWS EKS, RDS, Private ALB, and Parameter Store alongside Azure Bot Services, VNet, Azure App Service, and Azure Container Registry to support secure, enterprise-grade integration.

• Diagnosed and resolved a critical OOM issue in production by optimizing request-time data loading, reducing peak memory usage from ~750MB to ~30MB (~96% reduction) and preventing microservice pod crashes.

• Managed the complete end-to-end release cycle of the Teams Marketplace app feature in stages using feature flags and private preview cohorts before General Availability (GA), ensuring releases occurred without breaking existing integrations.

• Migrated 25+ enterprise customers from legacy custom Teams integrations to the new marketplace app during private preview, ensuring seamless transition with no regression in functionality.

• Joined as an early engineer and involved in building AI-native products from ground up.

• Led 0 → 1 development of Joinarena.ai – an AI-powered hiring platform streamlining recruitment workflows by building a highly scalable and distributed system using Next.js, Node.js, and TypeScript.

• Drove early traction with 1,000+ talent signups within the first week of launch.

• Engineered a real-time AI interviewing system using LiveKit (WebRTC) with AI voice agents capable of resume-aware questioning and contextual follow-ups, increasing candidate engagement by 54%.

• Designed a distributed email notification system using message brokers, worker processes, retry queues (RQ), and dead-letter queues (DLQ), reliably processing 1,000+ emails daily with fault tolerance.

• Implemented CI/CD pipeline for monorepo architecture using GitHub Actions and Docker, significantly reducing deployment time by 60% through automated build, and deployment processes.

• Partnered with AI engineer to integrate RAG-based Talent Search Engine, enabling semantic candidate retrieval.

• Designed and maintained a clean monorepo architecture, enforcing modular boundaries and code quality standards while participating in cross-team design reviews and architectural discussions.

• Led end-to-end cloud infra provisioning on Google Cloud Platform (GCP), deploying containerized services via Cloud Run and managing artifacts through GCP Artifact Registry for scalable, serverless production workloads.

• Developed a chat support feature enabling users to raise issues and have

real-time conversation with admin. Implemented real-time chat, notification

features, and email notifications. Worked with the user side interface as a

Chrome Extension.

• Worked on a robust admin dashboard application including create, update,

delete and share profile feature.

• Collaborated and debugged errors while developing and deploying the

projects which increased the efficiency of the project by 26%.