May 2025 – Present · 11 mos · Denver, Colorado, United States

• IndeCollective is a private community where top consultants, coaches, and fractional leaders tap into the proven playbooks, far-ahead mentors, and supportive community, and modern tools to build high-impact businesses and more balanced lives.
• I'm passionate about working with Series-A+ startups in the areas of Machine Learning and AI strategy and execution.

Jan 2024 – Present · 2 yrs 3 mos · Colorado, United States

• Fractional CTO and ML/AI Advising services for startups.
• https://www.dianapfeil.com/advising/

Jul 2023 – May 2024 · 10 mos · Boulder, Colorado, United States

• Lead mentor to Techstars Boulder startups in the security and travel tech space.

Mar 2022 – Oct 2023 · 1 yr 7 mos

• Pex is the leader in digital rights technology, providing solutions to identify music and rightsholders for licensing, content management, compliance, and anti-piracy. Pex is backed by $50M+ in venture funding.
• Led 70+ person engineering team at Pex, focusing on
• providing strategic direction for the team
• building a wonderful work environment for engineers to drive effective hiring and retention
• technical soundness for Pex’s industry-leading ML/AI-powered tech
• operational excellence including fast iterative execution
• Represented Pex at hearings for the US Copyright Office, speaking on the topic of using AI for identification and attribution of copyrighted works.

May 2021 – Mar 2022 · 10 mos

• Led a 15-person ML research team at Pex. Teams focused on ML for audio data, and building industry-leading content identification algorithms to power identification for audio, image, and video data.

Jul 2020 – May 2021 · 10 mos

• via Honey acquisition, continuation of ML-focused role at Honey

Mar 2019 – Jun 2020 · 1 yr 3 mos · Boulder

• Founding member and leader of risk team to launch Buy Now, Pay Later fintech product. Iterated on credit risk models using non-traditional data. Delivered model risk management process including a fair lending regulatory component.
• Contributed and advised on machine learning projects across Honey, including automated content extraction from the web, fraud detection, building of a canonical product catalogue, and the Honey rewards program.

Jan 2016 – May 2016 · 4 mos · Denver, CO

• Taught a Big Data Predictive Analytics Practicum course to Business Analytics masters students. Designed all course content, lectures, and a practicum project.

Jul 2015 – Jan 2019 · 3 yrs 6 mos

• We're a predictive technology company working on machine learning for air travel.
• First member of engineering team for the travel tech startup funded by NASA SBIRs and venture funding. Hired and led engineering team, including full time, contract engineers, and an offshore team.
• Prototyped and built Lumo’s core machine learning engine to predict FAA actions and flight delay. Built and operated Lumo’s REST APIs, and oversaw the web and mobile apps.
• Engaged with customers and investors, and oversaw all short term and strategic technology and infrastructure decisions. Stack included AWS, Python, and Kubernetes. React Native for mobile.

Jul 2012 – Jun 2015 · 2 yrs 11 mos · Boulder, CO

• Projects included developing models to predict customer churn for a large SAAS provider, improvements to the core algorithms in OptTek’s simulation optimization engine, basic research in clustering, and prototyping and developing a tool for exploratory data analysis of large scale simulations.

Jan 2005 – Jul 2006 · 1 yr 6 mos

• Worked in the machine learning group on projects such as:
• behavior based search, a system which mined anonymized customer behavior data to suggest highly relevant search results
• developed a generic key value store used by dozens of Amazon teams. This was a precursor to AWS NoSQL stores such as SimpleDB and later Dynamo