John Zedlewski
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Bringing GPU acceleration to the world's data with RAPIDS, NeMo Retriever, and NVIDIA AI!
I'm leading engineering teams that build products at the intersection of data and AI. We build RAPIDS, an open source initiative for GPU accelerated data science and data engineering. RAPIDS allows users to code against familiar APIs based on Python/Pandas, Scala/Spark, or SQL and still take advantage of the a highly-optimized CUDA core. Our engineering teams also drive NeMo Retriever for RAG, agentic frameworks, GNNs, optimization, and many other areas where GPU acceleration can help users build AI and data science projects with their data faster and more effectively.
Harvard University
MA, ABD, Economics
January 1, 2005 – January 1, 2010
Princeton University
AB, Computer Science
January 1, 1998 – January 1, 2002
NVIDIA
VP, Accelerated Data Science
March 1, 2025 – Present
NVIDIA
Senior Director, RAPIDS
June 1, 2022 – Present
NVIDIA
Director, Accelerated ML for NVIDIA RAPIDS
May 1, 2019 – Present
NVIDIA
Leading Deep Learning and Data Platforms for Autonomous Driving
October 1, 2018 – January 1, 2019
NVIDIA
Director - Deep Learning Research for Autonomous Driving
June 1, 2016 – June 1, 2019
Enlitic
Head of Engineering / Hands-on DL Researcher
October 1, 2014 – March 1, 2016
San Francisco
Castlight Health
Principal Engineer - Data Science / Pricing Research
July 1, 2010 – October 1, 2014
San Francisco, CA
Advanced Analytical Consulting Group
Optimization Consultant
January 1, 2008 – September 1, 2008
Boston
Harvard University
PhD candidate in Business Economics
September 1, 2005 – May 1, 2010
Cambridge, MA
VMware
Kernel Engineer
June 1, 2002 – July 1, 2005
Palo Alto, CA
Cultural Fit Analysis
The candidate's extensive experience at NVIDIA, Enlitic, and Castlight Health, combined with their academic background, suggests a strong fit for innovative, research-driven, and high-performance environments. Their work on open-source projects (RAPIDS) and contributions to academic tools (matElike) indicate a collaborative and knowledge-sharing mindset. However, the target role of 'Data Analyst' might be a significant step down from their VP/Director-level roles, potentially indicating a mismatch in career trajectory or expectations for the role's scope. The breadth of experience across different domains (healthcare, autonomous driving, financial optimization) shows adaptability.
Soft Skills & Operational Fit
The candidate's career progression from Kernel Engineer to VP, Accelerated Data Science, demonstrates strong leadership, strategic thinking, and the ability to manage complex technical teams and projects. Their descriptions highlight problem-solving, innovation, and a focus on delivering impactful solutions. The experience at Enlitic as HIPAA Security officer also indicates an understanding of compliance and operational security.