Prakash Godavarthi

About Prakash Godavarthi

I am currently working as SMTS at Salesforce, but my role is more aligned to Lead/Architect level where I handle end-to-end quality engineering initiatives across AI testing, automation, and performance engineering.I have around 11+ years of experience, mostly in FinTech and now in SaaS, working on large-scale enterprise systems. My core strength is in performance engineering, and over time I have expanded into automation framework design, AI testing, and overall QE strategy.In my current role, I am working on AI agents and LLM-based systems (Agentforce), where I am responsible for:Doing feasibility studies and deciding the right approach for AI testing and automationDesigning LLM evaluation frameworks (accuracy, precision, recall, F1, etc.) Building scalable automation solutions like VIBE framework based on Playwright MCP, and GenAI Handling performance testing for AI systems to ensure stability under high load Defining quality benchmarks and improving release confidence Mentoring team members and guiding them on best practicesOne important part of my experience is building things from scratch. I have designed and developed Playwright automation frameworks using Java, which are scalable and reusable across teams. I have also worked on hybrid frameworks (UI + API) and improved automation coverage and execution time.Before Salesforce, I worked with Wells Fargo, SS & C, PwC, and Invesco, where I mainly focused on performance engineering. I handled end-to-end performance testing including NFR definition, workload modelling, execution, monitoring, and RCA across systems like ETL pipelines, CRM platforms, and enterprise applications. My expertise includes: QE Architecture & Strategy Performance Engineering & Scalability AI/LLM Testing & Evaluation Automation Framework Development (Playwright, Java) Feasibility Study & Solution Design Leadership & Delivery OwnershipI am comfortable working with tools like Playwright, k6, JMeter, LoadRunner, New Relic, AppDynamics, Splunk, and Grafana.I enjoy solving complex problems, building scalable solutions, and helping teams improve quality in a practical way.Open to connect and discuss on AI testing, performance engineering, and QE architecture.

Experience

1. Senior Member of Technical Staff Sdet (Ai, Automation & Performance) Digital Success Engineering

   Salesforce

   Feb 2025 — Present · Hyderabad, IN

   Architected and led end-to-end AI Quality Engineering strategy for Salesforce AI Agents, owning design, implementation, and execution of enterprise-scale validation frameworks across LLM-driven applications.Directed QA architecture and LLM evaluation frameworks for multiple Generative AI platforms, leading an 8-member QE team to deliver production-grade, scalable AI integrations across the organization.Spearheaded enterprise AI agent delivery, successfully launching high-impact solutions including Salesforce Community Agent, Slack Help Agent, and Informatica Network Portal Agent, ensuring quality, reliability, and production readiness.Designed and built the VIBE framework (from scratch) — a proprietary, no-code AI testing platform leveraging Playwright, MCP (Model Context Protocol), and Vibium, enabling: Scalable AI test automation UI auto-healing capabilities Plug-and-play extensibility for future LLM integrationsEstablished LLM benchmarking and evaluation standards at org level, integrating automated pipelines with Agentforce Model APIs to measure and monitor: Accuracy, Precision, Recall, F1 Score Model bias and response consistency Regression drift across model versionsLed performance engineering for large-scale AI systems, validating high-throughput data integrations and OrgCS, ensuring: High availability under peak loads Zero data loss guarantees System resilience for enterprise AI deploymentsOwned test strategy, planning, and execution roadmap for the Digital Success Engineering unit, driving delivery quality, release quality, and stakeholder alignment.Mentored and enabled QE engineers by establishing best practices in AI testing, automation frameworks, and performance engineering, improving team productivity and delivery consistency.Transformed QA workflows using AI-powered SDLC accelerators, leveraging tools like Cursor and custom GenAI solutions to: Automate PRD analysis Generate acceptance criteria Accelerate test case design.

Education

• Sri Vasavi Engineering College

  Bachelor of Technology - BTech, Information Technology

• Navajeeven Public School

  SSC, 10th class

• Sri Chaitanya College of Education

  IPE, MPC