Sumit Suresh Poojary

Actively contributed to an infrastructure monitoring platform building large-scale event-driven systems for real-time performance visibility. Developed Kubernetes monitoring services using gRPC for agent-to-collector communication, Kafka for asynchronous telemetry processing, and REST APIs to provide real-time visibility across 1000s of production nodes. Designed and maintained Python backend services containerized with Docker to process 150K+ daily requests and serve 1M+ records from distributed systems. Diagnosed production issues using Kibana logs, GCP Traces, and system diagnostics, improving alert-processing logic and reducing API latency from 100+ seconds to under 10 seconds. Instrumented services with OpenTelemetry to reduce MTTR by 60% via enhanced logging/tracing/observability. Collaborated with product, frontend, backend, and QA teams across SDLC to define API contracts and deliver production-ready features in Agile/CI-CD environments. Utilized AI/LLM-assisted workflows to im

Designed and implemented Python/Django backend services for data collection, ingestion into AWS S3, and processing/retrieval workflows supporting environmental analytics. Created Tableau dashboards to visualize environmental data, KPIs, and operational trends. Developed and maintained CI/CD pipelines using Docker, GitHub Actions, and AWS, achieving high automation and reducing integration failures. Designed and implemented Pytest-based integration and unit testing frameworks, improving reliability and reducing production defects.

Built and maintained scalable C# web applications integrating with Active Directory and Azure AD, streamlining onboarding for 10M users and reducing operational costs. Designed and implemented NUnit test suites with extensive targeted test coverage to improve reliability and maintainability. Integrated Microsoft Graph API to accelerate browse pages for all entities, improving user experience. Optimized SQL database performance by improving query execution and applying strategic indexing, reducing execution time and improving system responsiveness.