About Me

Senior Data Scientist and Machine Learning Engineer. I love building software, lifting, yapping and giving to the community.

I've been coding since I was 12 years old. I have masters and bachelors degrees in computer science, have lived in 3 different countries, and worked at multiple Fortune 500 companies. I work on ML/AI research in the energy sector, AI ethics, open source development and volunteering.

Amey Ambade
Career Journey

Experience

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Senior Data Scientist

AI
ML
Computer Vision
May 2023 - current
SLB
Houston, TX
Led technical teams in next-gen applied ML for asset performance management and system optimization offerings under the Digital Twin framework. Delivered client-facing SaaS solutions for integrating research-based LLM (Large Language Model) applications with internal data science orchestration platforms and external data lakes, generating $3M in revenue (Q1 2024). Built the SLB Vision Analytics suite, including fire and smoke detection, people counters, personal protective equipment (PPE) detection, pose estimation and tracking systems using transfer learning and computer vision models like YOLOv5 for real-time video camera feeds. Generated $4.5M in revenue from ongoing client contracts, improved field safety by 45%, reduced risk associated with improper PPE by 35%, and reduced the client engineering safety team surveillance time by 30%. Led technical data science and management efforts for a 3-person team, to build an end-to-end machine learning service with real-time control optimization for dynacard image classification models to identify failure signatures in 100+ wells for a large American firm. Resulted in $10M+ in operational savings, 60 % faster detection time while reducing downtimes by 19%. Designed, built and productionized Smart Surveillance, an ML solution for hydrate detection for an international firm generating $2M+ in revenue, boosting production by 15%, reducing labor by 12%. Developed systems to detect emulsions for South American fields using multivariate time series ensemble tree models, reducing non-productive time by 25% and saving $1M+ in maintenance costs.
S

Data Scientist

Feb 2019 - May 2023
Schlumberger
Houston, TX
Developed failure and anomaly prediction models for Prognostic Health Management, implemented ML backend infrastructure and drove collaboration by partnering with field, client, and product teams to build apps to visualize wells based on their production rates using machine learning. Built a deep learning-based CNN model to classify erosion levels in mechanical tools and deployed a scalable cloud-based API, increasing precision by 8% and reducing detection time by 10%. Built a health analyzer application using unsupervised learning to predict tool failures to aid scientists and engineers.
S

Data Science Intern

May 2018 - Aug 2018
Schlumberger
Houston, TX
Improved inventory control by developing LSTM models to predict cracking from time series data of drill sensors. Designed a health analyzer application in Python to predict tool sensor failures for aiding experts in field.
C

Graduate Researcher

Dec 2017 - Oct 2018
Columbia University | Columbia Law School
New York, NY
Built a session-based recommendation system using a deep learning-based encoder-decoder architecture incorporating contextual information from users and an attention mechanism, improving displayed recommendations in e-commerce scenarios by 3% over present baselines on the YouChoose dataset (CNARM). Developed NLP and ML software to predict outcome of contractual damage lawsuits to benefit academics in debates, parties in drafting contracts, counsels in pre-trial exchanges and judges in rulings, now part of Optimalex, an AI-based legal predictive analytics solution for insurance claims.
C

Software Engineer Intern

May 2016 - Aug 2016
CY Tech | Ecole Internationale des Sciences du Traitement de l'Information (EISTI)
Paris, France
Built automatic data extraction and analysis models using NLP and machine learning for AREL, an e-learning platform used by 1500+ French students and alumni. Developed software to restructure the web app, enhancing app usability.
Technical Expertise

Skills

Python
TensorFlow
PyTorch
Keras
Scikit-learn
Pandas
R
Node.js
SQL
Postgres
Docker
Kubernetes
Dataiku
Azure
Academic Background

Education

Innovative Contributions

Patents

I have contributed to the application of AI in the energy industry through these patented innovations.

  • Machine Learning Model Operationalization Management Framework for Continuous Updates on IIoT Devices

    Patent No: US-63/389,627 | Issued: 2024

    View Patent

  • Failure Prediction for Run-Life Estimation of ESPs for PHM

    Patent No: US-63/358,189 | US20240003242A1 | Issued: 2024

    View Patent

  • Real-Time ESP Smart Alarms Suite Enabled Through Data Analytics and Edge-Based Multiphase Flow Simulator

    Patent No: US-63/300,121 | Issued: 2023

    View Patent

  • Artificial Intelligence-Driven Real-Time Dynamometer Classification for Diagnosis of SRPs

    Patent No: US-63/272,999 | Issued: 2023

    View Patent

  • Wellsite Operations Machine Vision Framework

    Patent No: IS23.1285 | Issued: PP

    View Patent

  • SRP Operations Diagnosis Solutions

    Patent No: IS23.1230 | Issued: PP

    View Patent
Research & Development

Publications

A collection of my published works and research contributions.

  • Enhancing Edge-Based SRP Production Optimization Algorithm with Fast Loop Mitigation

    Ambade, A., et al.

    ADIPEC 2024, 2024

    View Publication

  • Real-Time Well Constraint Detection Using an Intelligent Surveillance System

    Ambade, A., et al.

    SPE Canadian Energy Technology Conference, 2024

    View Publication

  • Real-time Smart Alarms Suite Enabled Through Data Analytics and Edge-based Virtual Flowmeter

    Ambade, A., et al.

    SPE ATCE, 2022

    View Publication

  • Electrical Submersible Pump Prognostics and Health Monitoring using Machine Learning and NLP

    Ambade, A., et al.

    SPE Intelligent Oil and Gas Symposium, 2021

    View Publication
Industry Impact

Professional Contributions

My contributions to the professional community.

  • Chief Judge

    International Student Paper Contest

    SPE Annual Technical Conference and Exhibition

    2024 • New Orleans, LA

  • Proceedings Chair

    Scientific Computing with Python

    SciPy Conference

    2024 • Tacoma, WA

  • Senior Technical Advisor

    Predictive Analytics

    Optimalex

    2024 • New York, NY

  • Speaker

    AI In Oil and Gas Conference

    Energy Conference Network

    2024 • Houston, TX

  • Reviewer

    Scientific Computing with Python

    SciPy Conference

    2023 • Austin, TX

  • Acknowledged Contributor

    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

  • Acknowledged Contributor

    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

  • Panelist

    Dell Dataiku Data Science Connect

    2022 • Houston, TX

  • Speaker

    Computer Vision through a Magnifying Glass

    DataCan

    2022 • Online

Professional Memberships

  • Member, Association for Computing Machinery (ACM)

  • Member, Institute of Electrical and Electronics Engineers Computer Society (IEEE-CS)

  • Member, Institute of Electrical and Electronics Engineers Computational Intelligence Society (IEEE-CIS)

  • Member, Institute of Electrical and Electronics Engineers Industry Applications Society (IEEE-IAS)

  • Member, Institute of Electrical and Electronics Engineers Technology and Engineering Management Society (IEEE-TEMS)

  • Member, Institute of Electrical and Electronics Engineers Educational Activities Board STEM Outreach Committee

  • Member, IEEE Artificial Intelligence Standards Committee - Generative AI and Foundation Model Subcommittee

  • Member, IEEE Standard for Artificial Intelligence and Machine Learning (AI/ML) Terminology and Data Formats Working Group

  • Member, IEEE Social Implications of Technology Standards Committee

  • Member, IEEE Technology for a Sustainable Climate Community

  • Member, Society of Petroleum Engineers (SPE)

Community Impact

Volunteering

Making a difference by giving back to the professional, underprivileged and local communities.

  • SciPy Conference

    Organizing Committee | 2023 - Present

    Teaching coding skills to underprivileged youth

  • OIT

    Houston Chapter Leadership Team | 2023 - 2024

    Building community and fostering professional growth

  • OIT-University

    Admissions Team Lead | 2023

    Matching DEI-focused students to mentorship opportunities

  • Columbia University

    Campus Recruitment Manager | 2022-Present

    Recruiting diverse talent for Columbia University

  • Columbia Alumni Association

    Houston Chapter Leadership Team | 2022-Present

    Building community and fostering professional growth

  • Houston Humane Society

    Adoption Coordinator | 2021 - Present

    Assisting with animal care and adoption events

  • YMCA of Greater Houston

    Volunteer Instructor | 2020 - Present

    Teaching coding skills to children and teens

Knowledge Sharing

Mentoring

Sharing knowledge and experiences to help others grow.

Columbia University

Mentor | 2022 - Present

Mentoring undergraduates and graduates in applied ML careers through the CAMP program

OIT

Mentor | 2023 - Present

Helping underprivileged LGBTQ+ youth break into the tech industry

SPE

Mentor | 2022 - Present

Mentoring undergraduates in AI and ML research

Recognition

Awards

Performed by SLB Award

SLB | 2024

MLOps World Championship

Dataiku | 2021

Performed by SLB Award

SLB | 2022

Petro.AI Hackathon Silver Medal

Petro.AI | 2021

BeOutstanding Award

Schlumberger | 2020

Fear has killed more dreams than failure ever will.
© 2024 Amey Ambade
Houston, TX
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