Dr. Cole Ingraham
Educator, generative AI specialist, and software architect with
over fifteen years of teaching and eight years of engineering leadership, working to
bring data science and machine learning to the masses.
New York, NY ·
coledingraham@gmail.com ·
github.com/coleingraham
Teaching
Lead AI Instructor — NYC Data Science Academy, New York, NY
November 2022 – present
- Developed a 110+ hour curriculum teaching generative AI for real-world applications
- Taught courses on machine learning, deep learning, and AI
- Delivered enterprise training on the Python data/ML stack to teams at KPMG, Intuit, and Salesforce
- Mentored students on bootcamp and industry-sponsored projects in generative AI and data science
Contract Instructor & Author — Pluralsight, remote
April 2023 – present
- Developed generative AI course material suitable for working professionals of any background
- Taught intensive courses on programming, data science, machine learning, and generative AI
- Pluralsight Elite Instructor for six consecutive quarters (4.6+/5.0 across 8+ courses per quarter)
Composition, Electronic Music, Theory, Flute & Piano Teacher — FaceArt Institute of Music, Shanghai, China
July 2013 – September 2015
- Taught private and group lessons for Chinese musicians preparing to study in the US
- Tutored students in English in preparation for the TOEFL
Graduate Teaching Fellow, Music Technology — University of Colorado, Boulder, CO
August 2010 – May 2013
- Taught music technology classes covering GarageBand, Reason, Pro Tools, and Finale
Visiting Lecturer — University of the Pacific, Stockton, CA
January 2010 – May 2010
- Taught beginning and advanced computer music software and twentieth-century music theory
Professional experience
Independent AI & Software Consultant — New York, NY
February 2023 – present
- Architected a full-stack NLP pipeline for portfolio managers that mines public earnings calls for opportunities and competitive threats, with verifiable transcript citations for every signal
- Developed energy supply/demand forecasting for day-ahead price prediction, enabling data centers to optimize power budgeting
- Initial developer for generative AI startup prototypes in dental, finance, and education technology
- Interviewed by investment firms on the impact of generative AI across media industries
Director of Data Science — Bluecore, New York, NY
February 2022 – January 2023
- Managed data science and analytics teams based in New York and India
- Defined and executed a multi-quarter, multi-team roadmap with product and engineering
- Shipped new ML models predicting buyer personas from customer behavior data into production
- Drove a significant quarter-over-quarter reduction in the bug backlog and held system stability through peak Black Friday traffic
Director, AI Research — Shutterstock, New York, NY
November 2020 – February 2022
- Founding member of the Shutterstock.AI business unit
- Launched an industry-leading audio-based search engine; productionized machine listening, multimodal, and semantic search services
- Built user-feedback mechanisms into the product loop so results improved from day one
- Managed a remote, cross-functional team spanning machine learning, software engineering, and data integrity
Chief Scientist — Amper Music, New York, NY (acquired by Shutterstock)
September 2015 – November 2020
- Architect of the core music composition AI and audio rendering technology; initially the sole developer, turning minimal sketches into a working production platform
- Led research and development in machine learning across existing and forward-looking technology
- Balanced product requirements with technical capability to build one of the world's highest quality on-demand commercial music generation platforms
- Cut the time to author a complete music data asset from six months to one by restructuring research into a sprint-based pipeline
- Drove improvements critical to securing the 2016 funding round; managed four direct reports and was heavily involved in company-wide hiring
Education
Doctor of Musical Arts, Music Composition — University of Colorado, Boulder, CO
2010 – 2013
Taught undergraduate electronic music. Developed a software framework for live computer music performance.
Master of Fine Arts, Electronic Music and Recording Media — Mills College, Oakland, CA
2007 – 2009
Emphasis on live audio/video and network music. Taught undergraduate music theory and aural perception.
Bachelor of Music, Music Composition — University of the Pacific, Stockton, CA
2004 – 2007
Acoustic and electronic music composition.
Patents
Co-inventor, generative music technology:
US 11,024,275 B2 ·
US 11,037,538 B2 ·
US 10,964,299 B1
Skills
Courses taught
- Generative AI for Everyone
- Generative AI for Finance
- Prompt Engineering for Software Developers
- Introduction to Deep Learning
- Recommendation Systems
- Python Best Practices
- Introduction to AWS
- Introduction to Music Technology
- Advanced Computer Music
- 20th Century Music Theory
Languages
English (native), Mandarin Chinese (intermediate)
Presentations & guest lectures
- AI by Design: Practical Strategies for Implementation at Every Level · ACCET Conference · Chicago, IL, 2025
- What Does the Future Hold for AI & Digital Transformation in 2023? · AI Summit New York · New York, NY, 2022
- Sex, Drugs, and Rock & Roll · Betaworks Dev StackUp · New York, NY, 2019
- Postcards from the Frontier · Open and User Innovation Conference · New York, NY, 2018
- AI & Modular Solutions to Complex Problems · NYAI · New York, NY, 2018
- Frenemy of the Music Industry: AI · Golden Melody Awards and Festival · Taipei, Taiwan, 2018
- AI-Powered Music · Data Driven NYC · New York, NY, 2017
- Top-down vs. Bottom-up Computational Creativity · O'Reilly AI · New York, NY, 2017
- Workshop on Improvisation with Electronics · University Weimar · Weimar, Germany, 2015
- Approaches to Free Improvisation · Suzhou University · Suzhou, China, 2014
- Serial and Chance Music Aesthetics · FaceArt Institute of Music · Shanghai, China, 2014
- American Experimental and Electronic Music · American Consulate · Shanghai, China, 2013
- SuperCollider, C++, and Network Music · Mills College · Oakland, CA, 2013
- Live Coding and Network Music · Texas A&M University · College Station, TX, 2013
- Approaches to Laptop Ensembles · Montana State University · Bozeman, MT, 2009