Dan Ford
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Dan Ford Email & Phone Number

Applied Scientist, ML Solutions Lab at Amazon Web Services (AWS)
Location: Denver, Colorado, United States 8 work roles 2 schools
1 work email found @amazon.com LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

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Work email d****@amazon.com
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Current company
Role
Applied Scientist, ML Solutions Lab
Location
Denver, Colorado, United States
Company size

Who is Dan Ford? Overview

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Quick answer

Dan Ford is listed as Applied Scientist, ML Solutions Lab at Amazon Web Services (AWS), a company with 142019 employees, based in Denver, Colorado, United States. AeroLeads shows a work email signal at amazon.com and a matched LinkedIn profile for Dan Ford.

Dan Ford previously worked as Applied Scientist II, Generative AI Innovation Center at Amazon Web Services (Aws) and Data Scientist, ML Solutions Lab at Amazon Web Services (Aws). Dan Ford holds Master Of Science (M.S.), Electrical And Computer Engineering from The Johns Hopkins University.

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Email format at Amazon Web Services (AWS)

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{first_initial}{last}@amazon.com
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Profile bio

About Dan Ford

10+ years of experience in applying machine learning across various domains, specializing in computer vision, natural language processing, and generative AI.

Listed skills include Microsoft Office, Autocad, Inventor, Solidworks, and 6 others.

Current workplace

Dan Ford's current company

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Amazon Web Services (AWS)
Amazon Web Services (Aws)
Applied Scientist, ML Solutions Lab
Denver, CO, US
Website
Employees
142019
AeroLeads page
8 roles

Dan Ford work experience

A career timeline built from the work history available for this profile.

Applied Scientist Ii, Generative Ai Innovation Center

Current

Seattle, WA, US

Currently building Generative AI solutions for public sector customers. Use cases vary from custom virtual assistants/chatbots, content generation and summarization, productivity tools, and process automations. This is accomplished by leveraging state-of-the-art LLMs, retrieval augmented generation (RAG), prompt engineering, custom chains/routers, and fine.

May 2023 - Present

Applied Scientist, Ml Solutions Lab

Seattle, WA, US

Developed AI/ML proof of concepts for various US public sector customers. Specializing in computer vision, natural language processing, and generative AI.

Nov 2021 - May 2023

Data Scientist, Ml Solutions Lab

Seattle, WA, US

Built object detection, semantic segmentation, proof of concepts for remote sensed imagery. Developed graph neural networks for complex relational data in maritime environments. Engineered custom NLP workflows to pull unique insights from text and remove PII. Created and presented a workshop to customers on applying machine learning to synthetic aperture.

Apr 2020 - Nov 2021

Research Scientist

Arlington, Virginia, US

  • Implemented state of the art computer vision algorithms on large datasets leveraging scalable cloud architecture
  • Labeled data, built, and trained a complex-valued object detection network for synthetic aperture radar (SAR) imagery.
  • Led the research, design, and implementation of a hierarchical classification network focused on addressing long-tailed data distributions and leveraging inter-class relationships to enhance multiclassclassification.
  • Collaborated with leading universities on cutting edge deep learning research in the complex-valued image space
Jun 2018 - Apr 2020

Aerospace Systems Engineer

Falls Church, VA, US

  • Worked side-by-side with the customer to tailor new and improved algorithms and software models for the primary payload of a large space program. Led the design for the tasking, collection, and processing of advanced.
Apr 2015 - Jun 2018

Radar Systems Engineer - Professional Development Program

Falls Church, VA, US

  • Collaborated with the Office of Naval Research to develop innovative long-range RFID algorithms as part of an Advanced Technology Demonstrator Program for use on the Triton UAV (MQ-4C)
Feb 2014 - Apr 2015

Ui/Ux Intern

Eagle Integrated Systems
Jun 2012 - Sep 2012
2 education records

Dan Ford education

Master Of Science (M.S.), Electrical And Computer Engineering

The Johns Hopkins University

Bachelor Of Science (B.S.), Engineering

James Madison University
FAQ

Frequently asked questions about Dan Ford

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

What company does Dan Ford work for?

Dan Ford works for Amazon Web Services (AWS).

What is Dan Ford's role at Amazon Web Services (AWS)?

Dan Ford is listed as Applied Scientist, ML Solutions Lab at Amazon Web Services (AWS).

What is Dan Ford's email address?

AeroLeads has found 1 work email signal at @amazon.com for Dan Ford at Amazon Web Services (AWS).

Where is Dan Ford based?

Dan Ford is based in Denver, Colorado, United States while working with Amazon Web Services (AWS).

What companies has Dan Ford worked for?

Dan Ford has worked for Amazon Web Services (Aws), Bit Systems, Northrop Grumman Corporation, and Eagle Integrated Systems.

How can I contact Dan Ford?

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

What schools did Dan Ford attend?

Dan Ford holds Master Of Science (M.S.), Electrical And Computer Engineering from The Johns Hopkins University.

What skills is Dan Ford known for?

Dan Ford is listed with skills including Microsoft Office, Autocad, Inventor, Solidworks, Cfd, Java, Visual Basic, and Html.

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