Manish Krishna

At Synopsys, I engineered a Python migration engine that replaced legacy SGE queues with IBM LSF across three product lines. It turned weeks of manual work into a production pipeline taking under two hours and cut compute costs by 50%.

I modernized legacy Perl code into object-oriented Python modules and directed Claude AI workflows with pytest suites, accelerating refactoring cycles while maintaining functional parity. I also developed self-service AI Agent Skills that reduced support ticket volume and R&D response times.

For Synopsys’ distributed compute environment, I built telemetry and health-monitoring workflows that brought node metrics into MySQL and Grafana dashboards. These tools cut IT triage from hours to minutes, while scheduler and health-check improvements drove a 30% SLA gain for tier-1 client runs.

Earlier at Synopsys, I engineered Python monitoring workflows and enhanced grid scheduling with concurrent execution and automated provisioning. At Izatech Labs Pvt Ltd, I engineered a Java and Spring Boot backend with Redis caching for a healthcare analytics dashboard, reducing p95 query latency to under 250ms.