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Kevin Johnson, Phd Email & Phone Number

Head of AI at dscout
Location: Boulder, Colorado, United States 14 work roles 3 schools
1 work email found @oracle.com LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

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Current company
Role
Head of AI
Location
Boulder, Colorado, United States

Who is Kevin Johnson, Phd? Overview

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Quick answer

Kevin Johnson, Phd is listed as Head of AI at dscout, based in Boulder, Colorado, United States. AeroLeads shows a work email signal at oracle.com and a matched LinkedIn profile for Kevin Johnson, Phd.

Kevin Johnson, Phd previously worked as Vice President of AI at Opsis Health and Director, AI & Cloud Architecture at Bryte. Kevin Johnson, Phd holds Doctor Of Philosophy (Phd), Engineering from Georgia Institute Of Technology.

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*@oracle.com
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Profile bio

About Kevin Johnson, Phd

I have proven AI leadership experience in forming strategy and driving teams to develop elegant and innovative generative AI (artificial intelligence) enabled products that solve real customer problems. I excel at navigating the difficult transition from research to production because of my unique background in academic research and various industries. I have extensive experience managing people and products that require a deep technical knowledge in artificial intelligence, machine learning, data science, and cloud computing. I also have a deep interest in the product-customer relationship and establishing technical product requirements and timelines for products that leverage cutting-edge technologies.

Listed skills include Apache Spark, Python, Mongodb, Cassandra, and 17 others.

Current workplace

Kevin Johnson, Phd's current company

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dscout
Dscout
Head of AI
Website
AeroLeads page
14 roles

Kevin Johnson, Phd work experience

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

Head Of Ai

Current

Chicago, Il, Us

- Guided the strategy and efforts in creating revolutionary Generative AI enabled products and features in an established Enterprise product across multiple teams.- Upleveled and inspired product and technology strategy and execution using data and AI to drive ROI.- Built a successful and highly productive research program working closely with a wide range of partners.- Led technology leadership in prompt engineering, fine-tuning, and data for AI product research and development on complex and ambiguous problems.- Maximized impact through pragmatic decisions and focused execution using careful consideration of the trade-offs of the business.-Boosted the visibility of AI/ML research through research external presentations, conferences, and publications.

Jun 2023 - Present

Vice President Of Ai

Opsis Health

- Led Artificial Intelligence (AI) product development of a food logging mobile application that identifies 100 classes of foods and determines nutritional information from a single overhead image in a 6 month period.- Enabled capture and annotation of 60,000 food images and depth maps in a 4 month period for training deep learning models focused on segmentation, classification, and volume.- Reduced product complexity and cost by 99% by envisioning and overseeing the migration of deep learning models onto the mobile device from the cloud. - Set product scope and timelines; managed international team in AI / deep learning model research, development, and productization to meet product requirements. (Python, Tensorflow, Google Cloud)- Reduced project budget by 80% by sourcing and leading a team of international AI/ML engineers, researchers, and software engineers better suited for the product and timelines.- Championed the communication and writing of technical product design documents focused on cross-team dependencies, APIs, and data structures.- Created a ranked list of differentiating features by reviewing competitor products to determine the core functionalities and established use paradigms.- Determined gaps in knowledge of the customer required for product-market fit and communicated with user research teams in collecting, analyzing, addressing these gaps.- Helped hire and retain talent - help with sourcing and selling to candidates as well as vetting them for the team.- Led research efforts in Natural Language Processing (NLP) product for recipe parsing and ingredient matching.

Jul 2022 - Jun 2023

Director, Ai & Cloud Architecture

Los Altos, California, Us

- Led efforts for integrating cutting-edge AI technologies into cloud and firmware software products.- Designed and guided C-levels through company strategy workshops for core competency alignment, idea brainstorming and prioritization, and formed roadmap for data, cloud, and machine learning strategy in product and hiring. - Reduced data storage costs and improved product maintenance costs through leading a cross-functional international team in implementing best-practices in cloud architectures. (AWS)- Convinced leadership of a product pivot that lead to focusing on the product’s current star feature by leading workshops, analyses, and presentations.- Partnered with UX research lead to conduct a rapid user study to validate customer assumptions and determine product technical requirements.- Architected, implemented, and managed production the entire cloud system responsible for operation of the IOT products using testable, scalable, and production coding standards that integrated with multiple internal and external customers.- Helped hire and retain talent - help with sourcing and selling to candidates as well as vetting them for the team.

Oct 2020 - Jul 2022

Ai Technology And Strategy Consultant

- Built Generative AI and NLP systems for fast moving startups.- Offered strategy and technology advice on AI, data, and machine learning for a new product development initiative.- Reviewed cloud solutions for several technology start-ups and offered cloud, data, and machine learning architectural guidance.- Led Fortune 100 client’s team of data scientists and engineers in development of automated machine learning price-demand modeling tool.- Investigated and presented on various deep learning frameworks and packages for image recognition and reconstruction for DARPA hard problem. (TensorFlow)

May 2015 - Jul 2022

Senior Machine Learning Manager (Identity Graph)

Westminster, Co, Us

- Mentored, managed, and led machine learning teams from planning through productization of identity resolution product to enable the full view of identity leveraging AWS services and big data technologies.- Saved $1MM / year in cloud compute costs by leading a cross-functional team to launch a new identity resolution product for adtech linking offline and online data for 90% of USA.- Managed the machine learning components of the identity resolution portfolio which required processing of terabytes of data daily. (AWS, Qubole, Spark)- Consulted as a technical and strategic expert with the new initiative team on evaluating the performance and establishing the requirements for a new potential product. - Balanced immediate impact and long-term company needs, as well as managing resourcing and prioritization.- Designed and implemented production machine learning products using testable, scalable, and production coding standards that integrated with multiple internal and external customers.- Helped hire and retain talent - help with sourcing and selling to candidates as well as vetting them for the team.

Jan 2018 - Oct 2020

Data Science And Machine Learning Manager

Lincoln, Ne, Us

- Managed, wrote code, and led cross-functional team from product vision through functioning prototype launch for a scalable, automated, and secure Spark-based cloud analytics application for a government agency using AWS.- Led multiple customer engagements with internal and external stakeholders, translated user interviews into technical requirements and determined implementation and schedule for product.- Managed an AWS security consultant and participated in architecture design reviews to meet CJIS (Security) reqs.- Quickly grew a machine learning productization team from 1 to 5 persons to aid in addressing the Heroin epidemic using cutting-edge technologies and massive data sets. (AWS, Databricks, Python, Spark)- Conducted ad hoc analyses, wrote back-end Pyspark network analysis code, developed front-end D3 visualizations, and setup cloud infrastructure using AWS managed services.- Investigated legacy products and processes and provided thought leadership, which addressed training pain-points and reduced cost, streamlined customer trials, and reduced time to market for new products.

Jan 2017 - Dec 2017

Lead Big Data Scientist

Fremont, Ca, Us

- Communicated, architected, and developed a HPC job manager product through leading a cross-functional machine learning team using Spark, Cassandra, and MongoDB. - Architected and developed distributed data analytics software products using Spark, Cassandra, and MongoDB.- Mined, analyzed, and presented findings from various data sources using Python, R, and JMP.- Integrated R, Python, and Hadoop data analytics capabilities for analyzing large unstructured text files.- Developed project plans and presented use cases to upper management.- Lead a team of 4 data scientists and engineers in development of automated machine learning API for cloud-based applications.

Mar 2014 - Jun 2015

Founder / Technical Product Manager

Automate Fitness

www.automatefitness.com- Started from an idea generated at Start-up Weekend in October 2013 in Pittsburgh, PA.- Track sets, reps, and workout automatically using accelerometer and bluetooth data.- Differentiate various workouts using statistical and time-series data and visualize the information for users.- Create business plan and sales distribution strategies for investor presentations.

Oct 2013 - Jun 2015

Research And Development Engineer

Irving, Texas, Us

- Aided in redesign of $MM product issue by analyzing time-series sensor data, conducting simulation / optimizations, and visualizing trends for management design trade-off.

Jun 2013 - Mar 2014

Graduate Researcher

Atlanta, Georgia , Us

- Conducted theoretical and applied research for various industry and government products in the areas of machine learning, product design, software engineering, system engineering, and optimization.

Aug 2007 - May 2013

Robotics Engineering Intern

Pittsburgh, Pa, Us

- Generated kinematically correct motion primitives for autonomous path-planning of ground and aerial vehicles.- Enabled analysis of maximum performance path generation for helicopter mission critical maneuvers.

May 2012 - Aug 2012

Student Aerospace Engineer

Ft. Huachuca, Arizona, Us

- Conducted research on military cargo delivery capability gaps, developing requirements for future delivery systems. - Developed global design and optimization technique, providing guaranteed bounds on feasible design space.

May 2010 - Aug 2012

Space Shuttle Engineer

Arlington, Va, Us

- Developed reliability assessment tools for Orbiter Composite Overwrapped Pressure Vessel Team to produce new tank loading/unloading procedures on the space shuttle. - Assessed damage potential and possible solutions for faulty Tyvek covers used on thruster system on launch pad of the space shuttle and updated Orbiter Hazard Report Analyses.

Jun 2006 - Aug 2009

Mechanical Engineering Trainee

Rosemead, Ca, Us

- Modeled a coal feeder pipe subsystem and potable water flow diagrams using CAD software for 2GW coal-burning power station. - Participated in start-up procedures for a $1.3 million Reverse Osmosis Unit and assembled an operation manual including general operating and cleaning procedure.

Jun 2005 - Aug 2005
Team & coworkers

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3 education records

Kevin Johnson, Phd education

Doctor Of Philosophy (Phd), Engineering

Georgia Institute Of Technology

Master'S Degree, Aerospace, Aeronautical And Astronautical Engineering

Georgia Institute Of Technology

Bachelor'S Degree, Mechanical Engineering

Penn State University
FAQ

Frequently asked questions about Kevin Johnson, Phd

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

What company does Kevin Johnson, Phd work for?

Kevin Johnson, Phd works for dscout.

What is Kevin Johnson, Phd's role at dscout?

Kevin Johnson, Phd is listed as Head of AI at dscout.

What is Kevin Johnson, Phd's email address?

AeroLeads has found 1 work email signal at @oracle.com for Kevin Johnson, Phd at dscout.

Where is Kevin Johnson, Phd based?

Kevin Johnson, Phd is based in Boulder, Colorado, United States while working with dscout.

What companies has Kevin Johnson, Phd worked for?

Kevin Johnson, Phd has worked for Dscout, Opsis Health, Bryte, Kevin Johnson Phd, and Oracle | Datalogix.

Who are Kevin Johnson, Phd's colleagues at dscout?

Kevin Johnson, Phd's colleagues at dscout include Elyse Tuennerman, Tommie Norman, Prathamesh Raikar, Scott Williams, and Sam Mcdavid.

How can I contact Kevin Johnson, Phd?

You can use AeroLeads to view verified contact signals for Kevin Johnson, Phd at dscout, including work email, phone, and LinkedIn data when available.

What schools did Kevin Johnson, Phd attend?

Kevin Johnson, Phd holds Doctor Of Philosophy (Phd), Engineering from Georgia Institute Of Technology.

What skills is Kevin Johnson, Phd known for?

Kevin Johnson, Phd is listed with skills including Apache Spark, Python, Mongodb, Cassandra, Mathematical Modeling, R, Matlab, and Jmp.

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