I build AI systems for clients across industries, and write about when they break.
Amey builds AI for Dataiku clients across pharma, retail, finance, insurance, and energy. He hosts SE Radio, lives in Houston with a cat named Crow, lifts heavy, and makes music when it's quiet.
One granted US patent and five pending published applications in applied AI and ML, all in production energy systems. Full write-ups on the research page.
US 12,291,957 B2 · Granted May 6, 2025
Time series data from wellsite pump equipment passes through a trained anomaly detection model, whose output feeds a second model that predicts the equipment's survival probability over time.
Read the full write-upUS 2025/0104436 A1 · Published March 27, 2025
Imagery from a wellsite is analyzed to detect movement, that movement is used to determine risk to a human present at the site, and an instruction is issued to reduce the risk.
Read the full write-upUS 2024/0401586 A1 · Published December 5, 2024
Two models split by sensor location: surface data drives a classifier for improper pump spacing, downhole data drives a deep learning model for conditions such as gas interference and fluid pounding.
Read the full write-upUS 2024/0018863 A1 · Published January 18, 2024
Results returned by trained models running on field devices are assessed against real-time equipment data, a signal is raised when the model itself is underperforming, and training data is updated to produce a replacement model for deployment.
Read the full write-upUS 2025/0270991 A1 · Published August 28, 2025
Pump system data is processed into card format, a machine learning model detects an operational condition from that card data, and the system then controls the operation of the pump in response.
Read the full write-upUS 2025/0067164 A1 · Published February 27, 2025
A computational device at the wellsite takes real-time time series data from pump equipment, runs it through a trained model to detect a performance issue, and issues a signal in response.
Read the full write-upPeer-reviewed SPE conference papers. Full write-ups on the research page.
Amey Ambade, Saniya Karnik, Praprut Songchitruksa, Rajeev Ranjan Sinha, Supriya Gupta
SPE Symposium: Artificial Intelligence, Towards a Resilient and Efficient Energy Industry, 2021
Read the full write-upLichi Deng, Amey Ambade, Miguel Hernandez de la Bastida, Daniel Davalos, Julia Carrera Zanafria, Supriya Gupta
SPE Annual Technical Conference and Exhibition, 2022
Read the full write-upR. Sinha, P. Songchitruksa, Amey Ambade, S. Ramachandran, V. Ramanathan
SPE Canadian Energy Technology Conference and Exhibition, 2024
Read the full write-upZeshan Hyder, Maya Yermekova, Carl Kemp, Saket Srivastava, Agustin Gambaretto, Yury Pazniak, Svetlana Pivtoratskaia, Ambica Agarwal, Amey Ambade
ADIPEC, 2024
Read the full write-upMy contributions to the professional community.
Software Engineering Radio
IEEE Computer Society podcast
2025 - Present • Five episodes per year
Career Catalyst Scholarship and IEEE-CS Richard E. Merwin Student Scholarship
IEEE
2026 • Remote
Scientific Computing with Python
SciPy Conference
2023 - Present • Tacoma, WA
International Student Paper Contest
SPE Annual Technical Conference and Exhibition
2024 • New Orleans, LA
Predictive Analytics
Optimalex
2024 • New York, NY
AI In Oil and Gas Conference
Energy Conference Network
2024 • Houston, TX
Damage to Reputation: A Comparative Analysis of Pecuniary Compensation for Non-Pecuniary Harm
Loyola of Los Angeles International and Comparative Law Review (ILR), Vol. 46, No. 1, 2023
2023 • Los Angeles, CA
Predictive Damages Awards: A Comparative Law & Economics Analysis on Contract Breach Litigation in American Common Law, French Civil Law, and International Commercial Law
St. Thomas Journal for Complex Litigation (JCL)
2023 • Miami, FL
Dell Dataiku Data Science Connect
2022 • Houston, TX
Computer Vision through a Magnifying Glass
DataCan
2022 • Online
IEEE Senior Member (elevated 2026)
Member, IEEE Computer Society AI Standards Committee (C/AISC)
Member, IEEE P3462 Working Group: Safety by Design for Generative AI and Child Safety
Member, IEEE P3123 Working Group: AI/ML Terminology and Data Formats
Member, Association for Computing Machinery (ACM)
Member, IEEE Computer Society (IEEE-CS)
Member, IEEE Computational Intelligence Society (IEEE-CIS)
Member, IEEE Industry Applications Society (IEEE-IAS)
Member, IEEE Technology and Engineering Management Society (IEEE-TEMS)
Member, IEEE Educational Activities Board STEM Outreach Committee
Member, IEEE Social Implications of Technology Standards Committee
Member, IEEE Technology for a Sustainable Climate Community
Member, Society of Petroleum Engineers (SPE)
Making a difference by giving back to the professional, underprivileged and local communities.
Organizing Committee | 2023 - Present
Teaching coding skills to underprivileged youth
Houston Chapter Leadership Team | 2023 - 2024
Building community and fostering professional growth
Admissions Team Lead | 2023
Matching DEI-focused students to mentorship opportunities
Campus Recruitment Manager | 2022-Present
Recruiting diverse talent for Columbia University
Houston Chapter Leadership Team | 2022-Present
Building community and fostering professional growth
Adoption Coordinator | 2021 - Present
Assisting with animal care and adoption events
Volunteer Instructor | 2020 - Present
Teaching coding skills to children and teens
Sharing knowledge and experiences to help others grow.
Mentor, CAMP & Odyssey programs | 2023 - 2025
Mentoring undergraduates and graduates in applied ML careers
Mentor | 2023 - Present
Helping LGBTQ+ folks break into the tech industry
Mentor | 2022 - Present
Mentoring early-career engineers in AI and ML
SLB | 2024
Dataiku | 2021
SLB | 2022
Petro.AI | 2021
Schlumberger | 2020