NVIDIA Certification Champions

Join the community of experts who have contributed to the development of our certification program.

Become a Champion

Interested in being part of the NVIDIA Certification Champions team?
We’re currently looking for experts in the areas of advanced networking, AI infrastructure, accelerated data science, gen AI, and OpenUSD to help with certification exam creation and beta testing.

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Program Overview

Our Champions program brings together professionals from diverse backgrounds, including industry experts, educators, and technology enthusiasts. These individuals are chosen based on their deep knowledge of NVIDIA technologies, their experience in the field, and their commitment to fostering learning and career growth.

NVIDIA Certification Champions represent a community of dedicated professionals who contribute to the development and success of NVIDIA’s certification program. They play a vital role in upholding the high standards associated with NVIDIA’s certifications. By harnessing  the collective expertise of these champions, NVIDIA ensures that its certification program remains relevant, challenging, and respected within the industry. Their commitment and knowledge help maintain NVIDIA certifications as a valuable benchmark for professionals in the AI and accelerated computing fields.

Champions can contribute to the certification program in several ways:

  • Exam Design: Champions assist in creating and reviewing certification exams, ensuring they accurately assess candidates’ skills and knowledge.
  • Exam Beta Testing: Champions volunteer to take beta versions of our exams to ensure they are technically accurate and relevant to real-life workplace situations. The results from these beta exams provide useful information to evaluate the quality of the exam and its questions.
  • Community Engagement: Champions function as ambassadors for the program, sharing their expertise and experiences with aspiring professionals.
  • Feedback Loop: Champions offer insights from their real-world experiences, helping NVIDIA continually refine and improve the certification process.

Participation in the Certification Champions program offers these benefits:

  • Early Access: As beta testers, Champions receive first access to our certification exams and can be some of the first individuals to be certified in new areas. 
  • Networking Opportunities: The program facilitates connections with other experts in the field, fostering collaboration and knowledge sharing.
  • Recognition: Champions gain recognition for their expertise and contributions to the NVIDIA ecosystem.

Becoming a Certification Champion requires expertise in NVIDIA technologies. In selecting Champions, we look for the following: 

  • Experience in projects that involve NVIDIA technologies and platforms
  • Experience teaching AI and related technologies
  • Completing NVIDIA certification

View Champions

Burcin Bozkaya

Areas of Expertise:
LLMs, Gen AI, RAG, Behavioral Analytics

Interesting Project:
Helping partners build gen AI, LLM, RAG, agentic, and optimization solutions

  

Senior Developer Relations Manager
NVIDIA
Florida, USA

Contributions: Gen AI LLM & MM Associate Exams

Jim Brinksma

Areas of Expertise:
SaaS, AI, ML, Networking

Interesting Project:
Multi-cloud GPUaaS orchestration

 

SVP Software and Solutions
LightRiver Software
New York, USA

Contributions: AI Infrastructure & Operations Associate Exam,  AI Operations, AI Infrastructure and AI Networking Professional Exams 

Michael Fongemie

Areas of Expertise:
AI Infrastructure & Operations, DGX, Solution Selling

Interesting Project:
Developing AI platform solutions, assessments, and workshops for internal and external customers

  

Senior Solution Architect
Insight
Florida, USA

Contributions: AI Infrastructure and Operations Associate Exam, AI Infrastructure Professional Exam

Igor Isupov

Areas of Expertise:
GenAI, AI, ML, OVE, DGX/HGX

Interesting Project:
Giving developers access to the latest and greatest of NVIDIA Hardware and Software and early access to SDKs

  

Sr. Data Scientist, NVIDIA Alliance Technical Lead
SoftServe
Lviv, Ukraine

Contributions: Associate: Gen AI LLM, Associate: Gen AI Multimodal

Dr. Manal Jalloul

Areas of Expertise:
Gen AI, Accelerated Computing, Data Science

Interesting Project:
Develop DL solutions in automotive, pharma, smart cities, and more

  

Founder and CEO
AI Lab
Beirut, Lebanon

Contributions: Gen AI LLM & MM Associate Exams, Accelerated Data Science Professional Exam

Dr. Laszlo Kovacs

Areas of Expertise:
DL and AI in medical and automotive industries

Interesting Project:
AI/ML-based product development, and real-time product-related data analysis solutions to support production and quality steering

  

Research Scientist, Assistant Professor
BMW and University of Debrecen
Debrecen, Hungary

Contributions: Gen AI LLM & MM Associate, Accelerated Data Science Professional Exams

Vadim Kudlay

Areas of Expertise:
Deep Learning, Gen AI

Interesting Project:
Mimic Keras API using NumPy to implement MNIST classifier

  

Senior Content Developer, DLI
NVIDIA
Louisiana, USA

Contributions: Gen AI LLM & Gen AI MM Associate Exams

Kevin Lee

Areas of Expertise:
Data Science, Computer Vision, LLMs

Interesting Project:
AI agents

  

Senior Content Developer, DLI
NVIDIA
California, USA

Contributions: Accelerated Data Science Professional Exam

Brian McBrayer

Areas of Expertise:
DGX Cloud, Gen AI, Infrastructure, Engineering

Interesting Project:
Contribute code back to the OSS agentic communities

  

Solutions Architect in Generative AI
NVIDIA
North Carolina, USA

Contributions: Accelerated Data Science Professional Exam

Veer Mehta

Areas of Expertise:
AI Infrastructure, AI Operations

Interesting Project:
Designed and built a large scale virtualized infrastructure for AI involving vGPU around VMware and Nutanix ecosystems.

  

Senior Solutions Architect in Generative AI NVIDIA
California, USA

Contributions: AI Infrastructure and Operations Associate Exam, AI Infrastructure Professional Exam, AI Operations Exam

Ernest Namdar

Areas of Expertise:
Machine Learning, Medical Imaging

Interesting Project:
Pediatric brain cancer molecular subtype identification

  

Senior Data Analyst
The Hospital for Sick Children
Ontario, Canada

Contributions: Gen AI LLM and Gen AI MM Associate Exams, Accelerated Data Science Professional Exam

Eric Phan

Areas of Expertise:
AI, ML, Data Science, and Robotics

Interesting Project:
Accelerating workflows with a single line of code

  

System Software Engineer
NVIDIA
California, USA

Contributions: Accelerated Data Science Professional Exam

Ranjit Rajan

Areas of Expertise:
Data Processing, DL, Search, and Gen AI

Interesting Project:
Design and build accelerated data processing and gen AI solutions

  

Senior Solutions Architect 
NVIDIA
Washington, USA

Contributions: Accelerated Data Science Professional Exam

Mohammad Raza

Areas of Expertise:
Gen AI, Computer Vision, ML

Interesting Project:
Design and implement cutting-edge gen AI solutions for enterprise clients

  

Senior Solutions Architect
NVIDIA
Illinois, USA

Contributions: Gen AI LLM & Gen AI MM Associate Exams 

Rodion Shkrobot

Areas of Expertise:
DevOps, Software Engineering and Architecture

Interesting Project:
Creating new CSPs, designing government AI-enabled security systems

  

Cloud Architect
SoftServe Inc.
Kiev, Ukraine

Contributions: AI Infrastructure & Operations Associate, AI Operations, AI Infrastructure Professional Exams

Shahar Siegman

Areas of Expertise:
NVIDIA AI Software Stack

Interesting Project:
Educate NVIDIA’s largest customers on how to utilize our AI software stack

  

Content Creator and Instructor, NVIDIA Academy
NVIDIA
Tel Aviv, Israel

Contributions: Accelerated Data Science Professional Exam 

Erick Sperandio

Areas of Expertise:
AI, Deep Learning, Gen AI, Sustainability, Multimodal Data, Foundation Models, Quantum AI

Interesting Project:
Seeking to develop more sustainable AI solutions

  

Associate Professor, University of Surrey
Associate Professor, SENAI CIMATEC
Surrey, England

Contributions: Gen AI LLM and Gen AI MM Associate Exams

Roman Syrotynskyi

Areas of Expertise:
Computer Networking

Interesting Project:
Operational support of corporate networking

  

Network Infrastructure Project Manager SoftServe Inc.
Kyiv, Ukraine

Contributions: AI Networking Professional Exam

David Taubenheim

Areas of Expertise:
Accelerated Data Science, Exploratory Data Analysis, LLM-Enabled System Development

Interesting Project:
Use LLMs to semantically search records to find new business opportunities

  

Senior Solutions Engineer
NVIDIA
Texas, USA

Contributions: Gen AI LLM & Gen AI MM Associate Exams 

Yurii Turenok

Areas of Expertise:
LAN and Wireless Networks

Interesting Project:
Building a high-performance data center network; designing a WLAN network servicing 10,000 clients

  

Network Administrator
SoftServe
Kyiv, Ukraine

Contributions: AI Networking Professional Exam

Dr. Ihor Vakulchyk

Areas of Expertise:
Machine Learning Operations

Interesting Project:
Design and implementation of the operations platform within an NVIDIA stack-based AI Factory

 

Machine Learning Operations Engineer
Match 
British Columbia, Canada

Contributions: Accelerated Data Science Professional Exam

Gemma van der Voorst

Areas of Expertise:
Computer Networking, Virtualization

Interesting Project:
Design and build virtualized infrastructures for mission-critical workloads with HPC and vGPUs

  

IT Specialist
VMware
Groningen, Netherlands

Contributions: AI Infrastructure & Operations Associate, AI Operations, AI Infrastructure, AI Networking Professional Exam

Domen Verber

Areas of Expertise:
HPC, AI, Embedded Systems, Computer Languages

Interesting Project:
Intelligent real-time monitoring of patient’s vital signs with ML-based evaluation

  

Assistant Professor
University of Maribor 
Slovenia

Contributions: Gen AI LLM & Gen AI MM Associate Exams

Mourad Zerai

Areas of Expertise:
Deep Learning, Generative AI, Reinforcement Learning

Interesting Project:
Developed multimodal RAG-based chatbots using only open-source resources and local LLMs

  

Associate Professor and Head of AI Program
ESPRIT School of Engineering
Tunis, Tunisia

Contributions: Gen AI LLM Associate Exam

Xiaowei Zhao

Areas of Expertise:
Neural Network-Based Language Models, Deep Learning, and Conversational AI

Interesting Project:
Design and build virtualized infrastructures for mission-critical workloads with HPC and vGPUs

  

Professor of Psychology
Emmanuel College
Massachusetts, USA

Contributions: Gen AI LLM & Gen AI MM Associate Exams

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