Vivek Singirikonda
Lead Performance Engineer & AI Tool Builder │ Built AI-Powered Test Automation Platform │ LLM Integration │ Agentic AI │ Performance Engineering │ Observability │ Python │ Flask │ Playwright
- Role
- Lead Performance Test Engineer at Tracfone Wireless, Inc
- Location
- Pottstown, PA, US
- LinkedIn followers
- 500 followers
About Vivek Singirikonda
I\'m a Lead Performance Engineer and an emerging AI Engineer with 13+ years of IT experience — and someone who doesn\'t just use AI tools, I build them. While working as Lead Performance Engineer, I independently designed and shipped a production-grade AI-powered NeoLoad script generation platform from scratch. No team. No playbook. Just Python, curiosity, and a problem worth solving. What I built — and why it matters: I took one of the most manual, repetitive workflows in performance engineering and automated it end-to-end using AI. The result: an ~85% reduction in scripting time — what used to take 2–3 hours now takes 10–25 minutes. The platform runs in three modes — including a fully Autonomous AI Vision agent that reads the screen, reasons about what to do next, and navigates the browser with zero human interaction. That\'s not a chatbot. That\'s an Agentic AI system I designed and built from scratch. Under the hood: Python · Playwright · Flask · Chrome DevTools Protocol · LLM APIs (Anthropic, OpenAI, Gemini, Azure OpenAI — provider-agnostic by design). It ships as both a desktop app and a multi-user web application with login authentication — ready for team-wide deployment. The AI handles everything automatically — analysis, generation, memory, and output — producing a script that opens directly in the tool with minimal manual cleanup. What I bring: 13+ years of performance engineering across finance, retail, and telecomHands-on AI/GenAI tool development — LLM integration, Agentic AI, browser automationDeep expertise across NeoLoad, JMeter, and LoadRunnerIBM-certified: Developing AI Applications with Python and Flask (Coursera, 2026) Verify at: https://coursera.org/verify/AHCWU3NEF2ID I am transitioning into AI Engineering while remaining open to high-impact performance engineering opportunities — bringing the depth of a senior engineer and the instinct of someone who has already built and shipped real AI tools, actively moving toward roles where engineering experience and AI development intersect to create real, measurable impact. v••••••••@gmail.com
Experience
Lead Performance Test Engineer
Jan 2021 — Present
Key Initiative & Achievement — NeoLoad AI Script GeneratorIndependently designed and shipped a production-grade AI-powered performance test automation platform from scratch.• Reduced UI-based NeoLoad scripting time by ~85% — from 2–3 hours to 10–25 minutes per script• Built an Autonomous AI Vision agent (Agentic AI) that perceives the screen, reasons, acts, and verifies — completing full browser recordings with zero human interaction• Engineered 100% HTTP traffic capture using Playwright and Chrome DevTools Protocol (CDP), including CORS preflight calls missed by standard recorders• Provider-agnostic LLM integration — works with Anthropic, OpenAI, Gemini, and Azure OpenAI without code changes• Built AI memory system — correlations learned once, applied permanently to every future recording• Shipped as both a desktop app (Tkinter) and multi-user web app (Flask) with network access and login authentication — ready for team-wide deployment• Outputs DTD-compliant NeoLoad.nlp file with minimal manual cleanup — opens directly in NeoLoad• Tech: Python 3.10 · Playwright · CDP · Flask · LLM APIs · NeoLoad XML · TkinterResponsibilities:• Lead team of 6 onshore and offshore engineers; coordinate with Business, Architecture, Dev and DevOps to define SLAs and performance requirements• Build and maintain end-to-end NeoLoad and JMeter scripts for Commerce, Microservices, BRM and REST services• Automate load testing pipeline via Jenkins and Keptn CI/CD integration• Monitor production metrics via Dynatrace and Splunk; tune JVM and identify bottlenecks• Pull Oracle AWR reports and collaborate with DBA team for database performance analysis• Deliver performance test reports and pass/fail sign-offs for all production releases
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