Vibhor Agrawal
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
Engineering Leader | Agentic AI/ML| Foundation Model Research @ NVIDIA | Angel Investor in AI Infra, Agents & GPU‑Native Products | Backing Technical Founders at Pre‑Seed/Seed (US + India)
Senior AI leader at NVIDIA and operator–angel focused on AI‑native products in the US and India. At NVIDIA, I lead teams building large‑scale AI systems across graph neural networks (GNNs), retrieval‑augmented generation (RAG), and GPU‑optimized training, post training and inference. My work spans model architectures, retrieval and reranking systems, and end‑to‑end platforms that balance latency, quality, and cost on top of GPU infrastructure. As an investor, I back technical founders at pre‑seed and seed who are building AI infrastructure, agent tooling, and GPU‑intensive applications where AI is core to the product. I help with architecture and infra choices, scaling plans, and connecting founders into a network of researchers, engineers, and operators across NVIDIA and the Bay Area.
Clemson University
Doctor of Philosophy (Ph.D.), Computational Biophysics
January 1, 2011 – January 1, 2016
Vellore Institute of Technology
Bachelor’s Degree, Bioinformatics
January 1, 2007 – January 1, 2011
Couture.ai
Senior Technical Advisor
January 1, 2018 – Present
San Francisco Bay Area
NVIDIA
Senior Engineering Leader, Applied Deep learning
January 1, 2017 – Present
Santa Clara, California
Komodo Health
Machine Learning Engineer
February 1, 2016 – January 1, 2017
New York City Metropolitan Area
The Data Incubator
Fellow
August 1, 2015 – December 1, 2015
New York City Metropolitan Area
Clemson University
PHD
August 1, 2011 – April 1, 2016
Centre for Cellular and Molecular Biology
Research Intern
December 1, 2010 – June 1, 2011
National Institute of Technical Teachers' Training & Research
Intern
May 1, 2009 – July 1, 2009
Program graduate
The Data Incubator
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily skewed towards Machine Learning, Deep Learning, and Computational Biophysics, which are distinct from a pure Data Analyst role. While there's an overlap in data handling and analytical skills, the target role of 'Data Analyst' might be a step down in terms of advanced ML/AI application or require a different focus on business intelligence, reporting, and specific data visualization tools. The breadth of skills listed in the resume is limited, making it hard to assess direct alignment with typical data analyst responsibilities. The candidate's experience is more aligned with a Data Scientist or Machine Learning Engineer role.
Soft Skills & Operational Fit
The candidate's extensive academic and professional background suggests strong analytical thinking, problem-solving, and research skills. The fellowship at The Data Incubator implies a proactive approach to skill development and a drive for excellence. However, without specific project descriptions or detailed role responsibilities, it is difficult to assess communication clarity, teamwork, or stress handling beyond general inferences from senior roles.