.png){kind=logo}
mahesh narne
Senior Full-Stack Software Engineer specializing in cloud-native microservices and web apps
Connect with mahesh
mahesh already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.
Recommended
Already have an account?
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.
Find your next great hire
Our AI agents source, screen, and vet candidates for your open roles. Get qualified candidates within 48 hours.
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
Like what you see? We'll introduce you to mahesh directly.
Experience
Education
Skills
Languages
Certifications
Browse Similar
Similar Candidates
Senior Full-Stack Software Engineer specializing in cloud-native distributed systems and AI
Vinh Ly
Staff Software Engineer specializing in scalable full-stack FinTech systems
“Full-stack/backend engineer with recent hands-on experience building an AI-powered AML/KYC platform for financial institutions, spanning Go/Python backend services, real-time risk pipelines, and React/TypeScript analyst dashboards. Stands out for measurable compliance-tech impact: 94% fewer false positives, review times reduced from days to hours, and microservices processing 10,000+ transactions per second.”
Senior AI/ML Engineer specializing in applied AI and scalable backend systems
Staff Software Engineer specializing in distributed infrastructure and reliability
Staff-level Software Engineer specializing in LLM inference infrastructure and scalable model serving
Senior Full-Stack Engineer specializing in AI/ML platforms and cloud-native systems
Interested in mahesh?
We'll personally introduce you - no strings attached.
Build your dream team with Reval
Our AI agents source, screen, and vet candidates for your open roles. Get qualified, high-intent candidates on your desk within 48 hours.
Discover more candidates like mahesh
Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.
Search Talent