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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.
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 Accelerated Computing with CUDA C/C++
NVIDIA
June 24, 2026 – Present
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
Machine Learning
Coursera Course Certificates
June 24, 2026 – Present
Computational Neuroscience
Coursera Course Certificates
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 MULTI-GPUS
NVIDIA
June 24, 2026 – Present
Certified Goal Success Life Coach
Transformation Academy
June 24, 2026 – Present
Fundamentals of Deep Learning for Computer Vision
NVIDIA
June 24, 2026 – Present
Human Computer Interaction
Coursera Course Certificates
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.