Irfan M S G

Operations Associate

Pune, Maharashtra, India20 yrs 2 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Expert in automation and AI-driven validation.
  • Proven track record in GPU driver validation.
  • Led cross-functional teams for high-quality product releases.
Stackforce AI infers this person is a SaaS and Gaming QA expert with a focus on automation and GPU technologies.

Contact

Skills

Core Skills

AutomationAi/llmCloud TechnologiesGpu ValidationQuality AssuranceGame TestingTeam Leadership

Other Skills

Organizational LeadershipAgentic AutomationPythonC++AI-augmented automationPerformance MetricsData AnalysisDriver TestingBug AnalyticsFunctionalityQuality EngineeringSound TestingClaude SkillsMulti-agent SystemsAgentic Workflows

About

I am a results-driven Automation & QA Leader with extensive experience managing end-to-end validation and automation for cutting-edge products across Omniverse, Cloud, AI/LLM-enabled automation, GPUs, and XR technologies. Currently, I lead the Omniverse Automation team, driving innovation through UI-based automation enhanced with AI/RAG/LLM, ensuring robust validation for projects like Kit SDK, Kit App Streaming, Omniverse Cloud, AI-enabled USD Search, SensorRTX, AVSim, and Mega etc., With a strong foundation as a QA Lead, I bring deep expertise in GPU validation, driver testing, cloud-based applications, ARM-based SoCs, and multimedia/game content certification. My background spans critical projects such as OptiX, NGX, Quadro, Studio notebooks, eGPU, Iray, and more. #Core Strengths & Impact • Building and scaling automation strategies that accelerate time-to-market while improving product quality. • Leading cross-functional teams to deliver end-to-end validation across complex ecosystems (Cloud, AI, GPU drivers, APIs, ISV apps). • Driving process improvements through data mining, bug analytics, and predictive quality planning. • Hands-on expertise in debugging (user/kernel mode), performance testing, and automation frameworks. • Proven record of stakeholder collaboration, resource management, and delivering on-time, high-quality releases. #Specialties: Automation (UI + AI/LLM + RAG) | GPU Drivers & SoCs | Cloud Technologies | USD/Omniverse Ecosystem | gRPC API Testing | Test Strategy & Planning | Debugging & Crash Analysis | Cross-geo Stakeholder Management | Data Mining & QA Process Optimization I thrive at the intersection of automation, AI, and graphics technologies, constantly seeking opportunities to drive quality at scale while enabling innovation in next-gen platforms.

Experience

20 yrs 2 mos
Total Experience
10 yrs 1 mo
Average Tenure
18 yrs 2 mos
Current Experience

Nvidia

2 roles

Manager, Automation & SDET (Omniverse QA)

Promoted

Jul 2022Present · 3 yrs 11 mos

  • Leading the Omniverse Automation QA team, responsible for designing, developing, and scaling automation frameworks that combine UI-based automation with AI/LLM/RAG capabilities to validate next-generation Omniverse products and cloud platforms using Python and C++.
  • Key responsibilities and achievements:
  • Driving end-to-end automation and validation for projects including Kit SDK, Kit App Streaming, Omniverse Cloud, AI-enabled USD Search, SensorRTX, AVSim, and Mega.
  • Building AI-augmented automation solutions to accelerate release cycles and reduce manual testing overhead.
  • Partnering with cross-functional teams (engineering, QA, and stakeholders across geographies) to ensure quality and timely delivery of features and releases.
  • Implementing data-driven QA strategies by mining defect trends, optimizing processes, and improving overall product quality.
  • Managing resource planning, task prioritization, and progress tracking, ensuring high team productivity and alignment with organizational goals.
  • Providing technical leadership in test development, automations of the tests, debugging (user & kernel mode), performance testing, GPU driver validation, and cloud workflows.
  • Enabling scalable testing practices across APIs (gRPC, REST), USD workflows, and large-scale graphics/AI applications.
  • This role focuses on driving innovation in automation and validation, ensuring reliability, scalability, and performance across NVIDIA’s Omniverse ecosystem and related cloud-based AI platforms.
Organizational LeadershipAgentic AutomationAutomationAI/LLM

Senior Software QA Engineer

Apr 2008Jul 2022 · 14 yrs 3 mos

  • Led QA initiatives across global teams spanning Pune, Bengaluru, Santa Clara, Austin, New York, Berlin, and Taipei, driving high-quality validation and delivery for GPU platforms, Omniverse, cloud solutions, and ISV applications.
  • Key Responsibilities & Achievements:
  • Served as QA Lead for agile-based projects including Omniverse, OptiX, Iray plugins, RayTracing ISV Apps, Studio notebooks, GRID vGPU, Quadro VCA, GPU bring-up, and ISV app certification.
  • Owned QA schedules, task tracking, and stakeholder reporting to ensure on-time product and driver releases.
  • Delivered best-in-class drivers for platforms such as Omniverse, Studio notebooks, GRID vGPU, Quadro eGPU, Iray, and Mental Ray plugins.
  • Implemented bug data mining and analytics to identify trends, improve QA processes, and drive higher driver quality.
  • Managed end-to-end driver release cycles from sprint testing through GA validation, ensuring test plan coverage across internal and partner teams.
  • Provided QA leadership for hardware bring-up projects, working across NVIDIA’s Fermi, Kepler, Maxwell, Pascal, Volta, Turing, and Ampere GPU families.
  • Delivered performance validation for Tegra SoCs on Windows, contributing to key design wins including Microsoft Surface (Gen 1 & 2) and Lenovo Yoga.
  • Specialized in camera, browser, RAM/eMMC optimization, USB, DirectX, and multimedia performance validation.
  • Acted as Subject Matter Expert (SME) in DirectX/OpenGL games, 3D Vision, GeForce Experience, and video/audio validation.
  • Led feature QA for 3D Vision and DX SRSs, collaborating closely with developers to validate new system requirements.
  • Hands-on with debugging, test planning, and automation scripting (C, C++, C#, Java, JavaScript) to augment QA workflows.
  • This role strengthened my expertise in GPU driver validation, performance testing, hardware bring-up, and cross-geo stakeholder collaboration, while consistently delivering high-quality releases in fast-paced environments.
Performance MetricsData AnalysisGPU ValidationQuality Assurance

Gameloft

QA Team Lead

Mar 2006Mar 2008 · 2 yrs · Greater Hyderabad Area

  • As QA Lead handled a team of 10 people from different geographic locations i.e. from Hyderabad, Pune, Bucharest and Sofia
  • Being a Lead handled the game's test life cycle from end-to-end
  • Worked in sync with Game Producers, Designers, QA Managers and other stakeholders both onsite and offshore to deliver an optimized and most stable game builds
  • Recruited and trained the new joinee both onsite and offshore to bring-up to the speed of the project or game under development and their respective technologies
  • Has the expertise on different hand-held game devices validation
  • Worked as game and sound tester on over 150 game titles and game ports from Gameloft on different mobile devices
FunctionalityQuality EngineeringGame TestingTeam Leadership

Education

Cornell University

Certificate Course — Executive Program in Management

Sep 2021Mar 2022

Osmania University

MCA — Computer Applications

Jan 2003Jan 2006

Sri Krishnadevaraya University

BCA — Computer Applications

Jan 2000Jan 2003

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