
Ravikant Dheeraj
@ravikantdheeraj
I build AI-enabled performance engineering solutions for cloud-scale enterprise systems.
What I'm looking for
At Accenture, I own performance engineering for financial services applications where production releases require performance sign-off. I translate performance data into clear release decisions for engineering teams and business stakeholders.
For Mortgage Cadence, I designed end-to-end testing across 15+ distributed microservices and benchmarked AKS against on-premises infrastructure. I identified pod overutilization through thread dumps and GC logs, helping improve batch-processing throughput by 67%.
I've built JMeter-integrated runtime test-data tooling, Python automation utilities, and reporting dashboards that flag SLA breaches across test runs. I also use AI and machine learning to modernize testing, including response-time prediction and bottleneck detection models.
Previously at ABB, Thomson Reuters, Tech Mahindra, Planit Testing, and Infosys, I delivered performance programs for industrial IoT, legal and tax software, healthcare, telecom, CRM, and e-commerce systems. My work has improved throughput, reduced latency and response times, and supported high-scale releases involving millions of daily events and thousands of concurrent users.
Experience
Work history, roles, and key accomplishments
Owns performance engineering across multiple applications, gating production releases on performance sign-off. Mentors teams, interprets results, and drives go-live decisions.
Conducted end-to-end performance engineering for an industrial IoT platform ingesting 1M+ telemetry events per day. Integrated JMeter with Azure Pipelines and tuned message batch sizes to improve throughput and reduce latency.
Automated load test execution pipeline using Jenkins and Azure Repo, cutting debugging turnaround time by 60%. Used Datadog dashboards and APM traces to identify and resolve slow database queries.
Coordinated with development and business teams to scope and execute 30+ transaction scenarios for a CRM and WCF web-services program, surfacing 12 critical defects pre-release.
Delivered performance programs across Australian healthcare and Indian e-commerce clients, identifying and resolving 8 production-level bottlenecks in partnership with client engineering teams.
Led IoT performance program for MQTT-based systems, designing test approaches simulating 50,000+ concurrent device connections. Built an XML parameterization automation tool, cutting prep time from 3 days to 4 hours.
Education
Degrees, certifications, and relevant coursework
MM University
Bachelor of Technology, Electronics and Communication Engineering
2011 - 2015
Bachelor of Technology in Electronics and Communication Engineering from MM University, Mullana, Haryana, from 2011 to 2015.
Availability
Location
Authorized to work in
Social media
Job categories
Skills
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