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Resume

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Brad Kenstler

Work
Experience

May 2024 - Present

Solo Founder,
SIMPLtech

Founded SIMPLtech to develop GenAI-native consumer apps using the modern LLM stack from the bottom-up.

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Learn more on my Founder page.

Sep 2023 - April 2024

Builder in Residence,
AI Entrepreneurs at Berkeley

Part of a UC Berkeley entrepreneurship collective exploring the art of the possible in LLM-native applications and startups

Aug 2019 - June 2023

Applied Science Mgr, Machine Learning
AWS
ML Solutions Lab (now Gen AI Innovation Center)

I led a customer-facing cross-functional team of machine learning practitioners, including scientists, architects, and engineers. 

 

We helped strategic AWS customers accelerate their adoption of AI/ML by developing custom ML solutions that drive value for their business use cases and processes.

Our team delivered solutions across industry verticals, such as:

  • Media & Entertainment

  • Financial Services

  • Healthcare and Life Sciences

  • Sports 

 

We developed applications across ML domains, such as :

  • LLMs and NLP

  • Computer vision

  • Recommender systems

  • Graph Neural Networks

Apr 2019 - Aug 2019

Sr. Applied Scientist, Machine Learning
AWS
ML Solutions Lab (now Gen AI Innovation Center)

Oct 2017 - Apr 2019

Applied Scientist II, Machine Learning
AWS
ML Solutions Lab (now Gen AI Innovation Center)

Oct 2017 - Apr 2019

Data Scientist Intern
fast.ai

Researching in deep learning under Jeremy Howard and Rachel Thomas through and in

addition to their Deep Learning Courses at the University of San Francisco Data Institute.

Education

2021 - Present

UC Berkeley Haas | MBA

Evening & Weekend MBA

2017

USF | M.S., Data Science

Master's program in data science, AI, and machine learning.

2015

USF | B.S., Mathematics

Bachelor's in Pure Math.

Skills
& Expertise

  • AI, machine learning, deep learning, data science

  • Custom-modeling, fine-tuning, model compression, knowledge distillation

  • Transformers, CNNs, GNNs

  • PyTorch, Tensorflow, Keras, MXNet

  • Distributed training, HPO, edge deployment

  • AWS, cloud deployment, pipeline

  • Python, React Native, mobile app development

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