P

Praveen kumar

Software Engineer

Bengaluru, Karnataka, India10 yrs 4 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Expert in AI validation and performance testing.
  • Proven track record in automation and tool development.
  • Strong background in embedded systems and IoT.
Stackforce AI infers this person is a skilled engineer in AI validation and embedded systems development.

Contact

Skills

Core Skills

Validation EngineeringTest AutomationSystem Integration TestingEmbedded SystemsSoftware Development

Other Skills

CPU/GPU microarchitectureperformance testingtriageWindows debugging toolsgaming performance analysisbenchmarkingcustom tools/scriptsAI-agent based automationplatform-level features validationtest case developmentCapFrameXPresentMonautomationDebugAI accelerators validation

About

Intel Corporation enabled impactful contributions to platform validation and debugging within the Artificial Intelligence and graphics domain. Leveraged test automation and custom tool development to streamline processes and enhance validation accuracy. Collaborative efforts focused on gaming validation and test case optimization. Academic grounding in Electronics and Communications Engineering from St. Joseph’s College of Engineering reinforced key technical proficiencies. Proven expertise in Python scripting, functional testing, and automation aligned with industry needs, driving innovation in system validation and gaming ecosystems.

Experience

10 yrs 4 mos
Total Experience
2 yrs 9 mos
Average Tenure
5 yrs 4 mos
Current Experience

Intel

2 roles

Systems Integration Validation Engineer

Dec 2021Jul 2025 · 3 yrs 7 mos

System Integration TestingTriageDebug

System Validation Engineer

Jan 2021Present · 5 yrs 4 mos

  • Proficient in CPU/GPU microarchitecture concepts and compute subsystem interactions.
  • Performed GPU/CPU performance testing and triage using tools like VTune, GPUView, PresentMon, and Windows debugging tools.
  • Utilized CapFrameX/PresentMon for gaming performance analysis, with strong understanding of frame-time metrics and calculations.
  • Executed industry-standard benchmarking and optimization performance tests to evaluate and improve system efficiency.
  • Developed custom tools/scripts that automated workflows and reduced manual effort by 60%.
  • Built AI-agent based automation solutions to streamline validation and reporting tasks.
  • Validated platform-level features on Windows through driver, firmware, and system integration testing.
  • Developed and implemented test cases aligned with functional and performance criteria to ensure comprehensive system validation.
CPU/GPU microarchitectureperformance testingtriageWindows debugging toolsgaming performance analysisbenchmarking+6

Ust

Validation Engineer

Jan 2018Jan 2021 · 3 yrs · Bangalore Urban, Karnataka, India

  • Validated AI accelerators (e.g., NPU) using MLPerf and internal benchmarks.
  • Automated test workflows for AI/ML features with Python and PowerShell.
  • Managed end-to-end triage process, including issue reproduction, log analysis, and resolution tracking.
  • Used WinDbg and other low-level tools to debug Windows system issues at the OS and driver level.
  • Engineered test cases grounded in customer expectations and system specifications to drive robust validation coverage.
AI accelerators validationMLPerfautomated test workflowsPythonPowerShellissue reproduction+4

Initech solutions, llc

Software Engineer

Feb 2016Oct 2016 · 8 mos

  • Developed Windows (WPF) and Xamarin applications with backend API integration.
  • Built AR frameworks and computer vision algorithms for interactive applications.
  • Maintained SQL Server databases and implemented REST-based services.
Windows (WPF)Xamarin applicationsbackend API integrationAR frameworkscomputer vision algorithmsSQL Server databases+2

Handsonlab

Software Engineer

Jan 2016Jan 2018 · 2 yrs

  • Delivered industrial IoT systems with Zigbee, Bluetooth, MQTT protocols.
  • Developed real-time vision modules using OpenCV on embedded platforms.
  • Built and deployed object tracking/detection pipelines optimized for low-power devices.
  • Designed and implemented a real-time Android app for IoT integration, enabling seamless device communication.
  • Designed and implemented embedded applications on Raspberry Pi, Arduino, and MSP430 microcontroller platforms.
industrial IoT systemsZigbeeBluetoothMQTT protocolsOpenCVreal-time vision modules+4

Education

St. Joseph’s College of Engineering – Chennai.

Bachelor’s Degree — Electronics and Communications Engineering

Jan 2012Jan 2015

Rudharaveni Muthuswamy Polytechnic College – Udumalpet.

Diploma — Electronics and Communications Engineering

Jan 2009Apr 2012

Ludhiana Polytechnic College

Master's Degree

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