mahesh narne

About

Backend-focused engineer building customer support/order-tracking platforms with Java 17/Spring Boot microservices and a React/TypeScript frontend. Deep experience running event-driven systems on Kubernetes (Kafka, Redis, MySQL) with strong observability (Prometheus/Grafana/Splunk), SLOs, and safe deployment practices (feature flags, canaries). Also built an internal monitoring/debugging dashboard that consolidated metrics and logs for on-call engineers and was adopted by other teams to speed incident response.

Experience

Education

Key Strengths

• End-to-end ownership of customer-facing backend services (design through rollout)
• Rapid iteration with quality controls (vertical slicing, strong test coverage, automated pipeline checks)
• Production-safe delivery practices (feature flags, canary rollouts, fast rollback/hotfix mindset)
• Performance and reliability engineering (latency focus, Redis caching built into feature work)
• Microservices at scale on Kubernetes with autoscaling and SLO-driven alerting/on-call
• Event-driven consistency patterns (Kafka events, idempotent consumers, service-owned data models)
• Built internal observability tooling adopted across teams, reducing time to detect/debug incidents
• Strong prioritization in ambiguous environments (stakeholder alignment, impact/risk ranking, smallest valuable slice)
• Designed modular Flask services using blueprints for maintainability
• Operational observability: structured JSON logging, CloudWatch dashboards/metrics, and targeted alerting
• Production error monitoring with Sentry and on-call alert workflows
• SQLAlchemy/PostgreSQL performance tuning aligned to query patterns (indexes, pooling, partitioning/archiving)
• Loosely coupled OCR/ML workflow design using AWS Textract + stepwise Lambda functions
• Reduced request-path latency by offloading heavy document processing to background/event-driven tasks
• Improved high-traffic endpoint performance with Redis read-through caching to reduce DB load