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Building the future of AI and Supercomputing | DGX / Cloud Native / *Ops Architect
I'm a creative, energetic, professional with an entrepreneurial spirit, a technical background, and a passion for learning and growing. My career aspirations lie at the intersection of cognition, robotics, and artificial intelligence. Academically I have studied Computer Engineering, Electrical Engineering, Cognitive Science, and Computer Science. Professionally I have spent several years developing cloud computing, big data, and AI solutions. I have worn various different hats and am a versatile engineer. I am able to leverage my broad range of expertise to deliver meaningful leadership, tooling, and solutions. I am always willing to try something new. I am a problem solver and I intend to change the world more than once.
Georgia Institute of Technology
Master of Science (MS), Computational Perception & Robotics
August 1, 2021 – Present
Udacity
Self Driving Car Nanodegree, Deep Learning, Software Engineering
January 1, 2012 – January 1, 2020
Rensselaer Polytechnic Institute
Bachelor of Science (BS), Computer and Systems Engineering / Cognitive Science
January 1, 2008 – June 1, 2012
Stanford University Venture Lab
Entrepreneurship/Entrepreneurial Studies
N/A – Present
NVIDIA
Senior Manager, Product Architecture
March 1, 2025 – Present
NVIDIA
Principal Engineering Architect, Product Architecture
August 1, 2021 – April 1, 2025
NVIDIA
Senior Deep Learning Solutions Architect, Partner / MLOps SA Team
December 1, 2018 – October 1, 2021
NVIDIA
Lead Platform Engineer, Deep Learning Institute
August 1, 2017 – December 1, 2018
A&B Technologies
Chief Technology Consultant
February 1, 2016 – August 1, 2017
Remote
Deep Information Sciences, Inc.
Solutions Architect
September 1, 2015 – June 1, 2016
Deep Information Sciences, Inc.
Senior Software Engineer
July 1, 2014 – February 1, 2016
Verizon Enterprise Solutions
Systems Quality Engineer
June 1, 2012 – July 1, 2014
Lowell MA (Previously Burlington MA)
Cloud Switch Inc.
Quality Engineer
May 1, 2011 – June 1, 2012
Burlington, Mass
CogWorks Laboratories
Cognitive Science Researcher
February 1, 2010 – January 1, 2011
Troy, NY
Single Digits, Inc.
Technical Associate
September 1, 2007 – August 1, 2009
Manchester, NH
Deep Data Bench
April 1, 2016 – Present
Deep Data Bench is a versatile MySQL benchmarking tool that runs with your data. Rather than using a consistent schema and transaction profile, Deep Data Bench uses special meta data files and configuration files to define and run its tests. These files are highly customizable and generated from a schema you specify. Deep Data Bench allows you to define tests that run various CRUD profiles in parallel, serial, and with different numbers of threads. It allows for a fine level of control over what those queries will look like and how long or frequently they are run.
AI for Good Specialization
DeepLearning.AI
June 24, 2026 – Present
Understanding the Brain: The Neurobiology of Everyday Life
Coursera
June 24, 2026 – Present
Kubernetes Essentials
Linux Academy
June 24, 2026 – Present
Deep Learning for Robotics - Certified Instructor
NVIDIA
June 24, 2026 – Present
Fundamentals Of Deep Learning For Multiple Data Types
NVIDIA
June 24, 2026 – Present
Fundamentals of Deep Learning For Natural Language Processing
NVIDIA
June 24, 2026 – Present
DEEP LEARNING FOR GAME DEVELOPMENT
NVIDIA
June 24, 2026 – Present
FUNDAMENTALS OF DEEP LEARNING FOR MULTI-GPUS
NVIDIA
June 24, 2026 – Present
Fundamentals of Accelerated Computing with CUDA C/C++
NVIDIA
June 24, 2026 – Present
Fundamentals of Deep Learning for Computer Vision
NVIDIA
June 24, 2026 – Present
Machine Learning
Coursera Course Certificates
June 24, 2026 – Present
Human Computer Interaction
Coursera Course Certificates
June 24, 2026 – Present
Computational Neuroscience
Coursera Course Certificates
June 24, 2026 – Present
Certified Goal Success Life Coach
Transformation Academy
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's extensive experience at NVIDIA, a leading AI company, suggests a strong cultural alignment with fast-paced, innovation-driven environments. Their involvement in open-source projects (DeepOps) and continuous learning (numerous certifications, Udacity Nanodegree) indicates a proactive and collaborative approach. The diversity of roles from engineering to architecture to management, and involvement in training, shows adaptability and a willingness to contribute across various functions. The personal project 'Deep Data Bench' also highlights an initiative-taking and problem-solving mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, mentorship, and communication skills through their roles as a manager, architect, and instructor. Their experience in customer-facing roles (Solutions Architect, Chief Technology Consultant) indicates strong problem-solving and stakeholder management abilities. The emphasis on building scalable and repeatable content suggests an operational mindset focused on efficiency and best practices.