ML Journeys are all different, but they rhyme: Wherever you are on your business's ML journey, Dr. Kaufhold has been there in his 30 years of ML experience. Dr. Kaufhold first mastered his multidisciplinary approach to ML in his roles as independent contributor and research and development leader at General Electric's Global Research Center, SAIC (now Leidos), and NIH. In those roles, Dr. Kaufhold saw it all -- whether it was blood vessels in mouse brains with neuroscientists at University of California, San Diego (UCSD), or wiring diagrams of brains on sabbatical in computational neuroscience at MIT, or cargo inspection with Department of Homeland Security's Global Nuclear Detection Architecture program, or mammographic breast density estimation with the National Naval Medical Center, or aligning diverse OWL2 databases for the intelligence community with IARPA, or target recognition of relocatable ground vehicles in radar imagery for DARPA, or identifying a species from a photo (on a phone in airplane mode) for DARPA, Dr. Kaufhold's been leading teams small and large to successfully prove ML and generate ML ROI for three decades, most recently for the startup he founded in 2013 and later led through acquisition, Deep Learning Analytics.

Tell Me What You're Looking For: Contact Dr. Kaufhold if you need help with ML efforts -- they can be expensive mistakes. 

• Board: If you're looking to get ML expertise on your board, let's talk.

• Equity Partner: If you're a VC, maybe you want an equity partner for due diligence on ML, or just general ML expertise. 

• CxO: If you're private equity or an enterprise, maybe you want a fractional Chief Information Officer / Chief Data Officer / Chief Data Scientist / Chief Innovation Officer or CxO for some of your portfolio. 

• Consulting: If you're a startup or other organization who's never done ML before, maybe you want a consultant to confirm your ML aspirations, guide your ML journey or even help you realize your ML aspirations. If you're a startup with a lot of experience in ML (whatever you think a lot means), you might want an ML consultant who's been successful in that space to share how that consultant sees your business situation -- Dr. Kaufhold might even already know the people you might want to meet next on your journey.

Machine Learning Tech Startup Founder: Dr. Kaufhold founded and personally bootstrapped Deep Learning Analytics, an Arlington, Virginia-based machine learning startup that was acquired in 2019. Dr. Kaufhold was recognized as the SCORE Success Story of the Year in 2019.

Record Revenue Growth: Deep Learning Analytics was the fastest growing company by revenue in Arlington in 2015, 2016, and 2017. No other small business in Arlington has ever replicated this growth.

Innovative Research: Deep Learning Analytics outcompeted some of the largest companies in the world to win revolutionary machine learning research work sponsored by DARPA. Deep Learning Analytics was issued three patents under Dr. Kaufhold’s leadership.

Mobile On-Device Product Innovation: As part of its DARPA work demonstrated to be the top performer in North America in 2017, Deep Learning Analytics developed an on-device Android app that recognized over 5,000 species of living things from a photo using only the device in airplane mode—no Internet connection was necessary.

Machine Learning Leadership: As part of some of its work for DARPA, Deep Learning Analytics’ 12 person startup outperformed machine learning teams at Baidu and Facebook on international machine learning competitions, some of which it published in the Washington Academy of Sciences Journal. Dr. Kaufhold was recognized with the Leadership in Computer Science award by the Washington Academy of Sciences in 2019.

Machine Learning Talent Leadership & Diversity: Deep Learning Analytics’s staff were recognized twice as the best data scientists in the DC metro region by DCFemTech. Deep Learning Analytics maintained a 0% staff attrition rate over its seven years as a startup, and at acquisition time was composed of 50% staff identifying as men.

FORTUNE 100 Director of Engineering Leadership: For two years, from March 2019 until April 2021, Dr. Kaufhold continued to lead the organization through its acquisition and subsequent growth, doubling its staff.

Recognized Research & Development Leader: Dr. Kaufhold began his machine learning career in speech recognition in 1993. He was named a Whitaker Fellow (1 of 30 in the US in 1995), an SAIC Technical Fellow (fewer than 0.25% of staff in 2011), a Fellow of the Washington Academy of Sciences (2019), and an Engineering Fellow of General Dynamics Mission Systems (fewer than 30 staff of >10,000 employees in 2020). Dr. Kaufhold is an author of >40 peer-reviewed publications and named inventor on >20 patents. According to Google Scholar, Dr. Kaufhold’s H-index is 25, with over 2,900 citations of his work. Dr. Kaufhold was awarded a Ph.D. in biomedical engineering in 2001. Dr. Kaufhold coauthored a Journal of Neuroscience review article with 1991 Nobel Prize winner Dr. Bert Sakmann, and has spoken on ML at the Cosmos Club twice.