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Jonathan Buck Email & Phone Number

Senior Software Engineer @ AWS | ML / AI / LLMs at Amazon Web Services (AWS)
Location: San Diego, California, United States 5 work roles 2 schools
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Role
Senior Software Engineer @ AWS | ML / AI / LLMs
Location
San Diego, California, United States

Who is Jonathan Buck? Overview

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Jonathan Buck is listed as Senior Software Engineer @ AWS | ML / AI / LLMs at Amazon Web Services (AWS), based in San Diego, California, United States. AeroLeads shows a matched LinkedIn profile for Jonathan Buck.

Jonathan Buck previously worked as Senior Software Engineer at Amazon Web Services (Aws) and Software Development Engineer at Amazon Web Services (Aws). Jonathan Buck holds Ms, Mechanical Engineering from Georgia Institute Of Technology.

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Amazon Web Services (AWS)

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About Jonathan Buck

Engineering leader with experience designing, building, shipping, and operating internet-scale web applications, with a focus on productionizing machine learning technologies.AWS re:Invent speaker and published author with a demonstrable track record of impact, from launching new products and services, scaling services 10x, winning grants and proposals, publishing in both academic journals and in technical publications (featured in O'Reilly's "97 Things Every Cloud Engineer Should Know").

Listed skills include Matlab, Python, Finite Element Analysis, Structural Analysis, and 53 others.

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Amazon Web Services (AWS)
Amazon Web Services (Aws)
Senior Software Engineer @ AWS | ML / AI / LLMs
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5 roles

Jonathan Buck work experience

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Senior Software Engineer

Current

Seattle, Wa, Us

•Designed, built, and shipped systems for evaluation of large language models as part of the Amazon Bedrock product, allowing thousands of customers to quickly and easily assess modern LLMs for accuracy, toxicity, and other dimensions.•Drove development of data annotation tools for demonstration data collection, preference ranking data, red teaming, and other generative AI use cases, leading to new multi-million dollar business opportunities.•Deployed and integrated a novel PyTorch model for bounding box annotation, allowing customers to reduce their bounding box annotation time by 39%.•Founding team member of the SageMaker Ground Truth service, where I built distributed systems for running active learning models, allowing customers to save 70% on their data annotation costs.•Tech lead with responsibility for steering weekly engineering operations meetings.•Comfortable working across the software lifecycle, including designing, shipping, and operating internet-scale web services.•Fluent in core AWS technologies, including S3, EC2, AWS Lambda, API Gateway, SNS, SQS, and others, along with Java, Python, and Docker.

Jun 2020 - Present

Project Engineer

San Diego, Ca, Us

ATA provides aerospace engineering services including testing and analysis for clients including NASA. During my tenure I developed expertise in implementing numerical methods using Python to address quantitative, computational research problems.I served as principal investigator on a $1M DoD software research project to develop computational tools that accelerate the development of composite materials, which often takes years and millions of dollars. This project required me to build and train neural networks using Python, TensorFlow, and Keras to predict the mechanical behavior of composite materials. I implemented Bayesian statistical models in Python, collaborative filtering, and non-negative matrix factorization algorithms to predict unknown composite material modeling parameters. I also optimized carbon fiber composite ply orientations using genetic algorithms and particle swarm optimization in Python.While at ATA I written or co-authored over 20 proposals with a 75% win rate, collectively worth $5M. I also supervised a junior software developer and interviewed over 20 engineering candidates as a member of the company interview team.

Aug 2012 - Jun 2018

Graduate Research Assistant

Atlanta, Georgia , Us

As a Research Assistant I conducted large-scale numerical simulations on state-of-the-art supercomputers and post-processed hundreds of gigabytes of data and automated data extraction from a proprietary database using Python scripting tools and the database API. My research was undertaken as part of a thesis-based master’s degree in mechanical engineering, which also led to the publication of two refereed journal articles.

Aug 2010 - Sep 2012

Engineering Assistant/Co-Op

San Diego, Ca, Us

As part of my co-op I performed static and dynamic structural analysis of mechanical and aerospace systems.

Jan 2008 - May 2010
2 education records

Jonathan Buck education

Ms, Mechanical Engineering

Georgia Institute Of Technology

Bs, Mechanical Engineering

Georgia Institute Of Technology
FAQ

Frequently asked questions about Jonathan Buck

Quick answers generated from the profile data available on this page.

What company does Jonathan Buck work for?

Jonathan Buck works for Amazon Web Services (AWS).

What is Jonathan Buck's role at Amazon Web Services (AWS)?

Jonathan Buck is listed as Senior Software Engineer @ AWS | ML / AI / LLMs at Amazon Web Services (AWS).

Where is Jonathan Buck based?

Jonathan Buck is based in San Diego, California, United States while working with Amazon Web Services (AWS).

What companies has Jonathan Buck worked for?

Jonathan Buck has worked for Amazon Web Services (Aws), Ata Engineering, and Georgia Institute Of Technology.

How can I contact Jonathan Buck?

You can use AeroLeads to view verified contact signals for Jonathan Buck at Amazon Web Services (AWS), including work email, phone, and LinkedIn data when available.

What schools did Jonathan Buck attend?

Jonathan Buck holds Ms, Mechanical Engineering from Georgia Institute Of Technology.

What skills is Jonathan Buck known for?

Jonathan Buck is listed with skills including Matlab, Python, Finite Element Analysis, Structural Analysis, Abaqus, Ansys, Solid Mechanics, and Project Management.

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