Managing a team of data scientists and data engineers developing early stage technology for product lines across Baker Hughes. Collaborate with external partners, academia, and government labs to accelerate research programs.

Energy Innovation Center - Energy Transformation group - Data Science Team Lead Lead a team of data scientists developing proof of concepts (PoC) for greenhouse gas emissions management software. Helped secure funding for pilot effort with multiple customers.- Collaborate with business leaders, executives, and clients to ensure PoC satisfy objectives- Data Engineering with database and cleansing routines on billions of time series data - Developed many anomaly detection algorithms and physics calculations for industrial equipment- Hosted on Google Cloud Platform (GCP) with postgres, docker, python, and grafana front end- Coordinate with various software teams to migrate software from PoC to productionOther responsibilities:- Developing AI roadmap for Energy Transformation applications- Evaluate external contracts and supported bids in both private and public sectors- Review and advise on AI projects horizontally across Baker Hughes - Evaluate external AI software for applicability to new innovation efforts- Mentor and help develop junior data scientists, interns, and others in the business

Oil Field Services - Drill Bits - Digital DevelopmentProduct owner, team lead, and machine learning developer for a digital twin initiative and internal website- Managed a team of up to seven developers and engineers.- Developed a dynamic time warping (DTW) algorithm for comparing the similarity of drilling tool geometry to cluster similar designs. Computing millions of optimization routines of DTW running in parallel on AWS in Docker instances.- Built a recommender system to maximize current inventory utilization. Saved $2MM in first 3 quarters and reduced the carbon footprint by 6MM kg.- Developed product demand forecasting algorithms.- Oversaw AIOps and cloud migration from Amazon AWS to Microsoft Azure.- Nominated for the Baker Hughes best digital product in 2020 and 2022. Won best digital product in 2023.Other responsibilities and accomplishments- Created the Baker Hughes Product Line 5-year analytics development roadmap.- Developed hybrid physics and machine learning approaches for predicting tool damage and drilling responses using lithology data, drilling sensor data, and damage metrics of drilling tools. Researched and prototyped multiple global constrained optimization algorithms and implemented an evolutionary algorithm. - Developed a Deep Reinforcement Learning Actor-Critic model that controls the drilling process to minimize tool damage and maximize drilling speed. - Developed many data extracting, cleansing, and transforming workflows for product, design, and drilling data.- Lead a University of Texas Comp. Sci. senior project team in developing a deep learning computer vision model for defect recognition in diamond cutters.- Worked with executive teams and customers to identify needs, developed data pipelines and machine learning models, and created web services or other means necessary to move processes into production.- Advise various teams performing analytics across the Baker Hughes and review publications.

• Developed multiple ensemble machine learning models for predicting drilling speed.• Developed an integrated physics and machine learning life prediction model for product failures. Automated the life estimation process and automatically generated structural design standards based financial margin goals and customer needs. Improved product margins by 500% on average and won one award.• Developed a Physics and Artificial Intelligence Surrogate model to predict reliability of industrial assets with Bayesian optimization sampling enabling accurate prediction with minimal data. Used structural simulations and material strength statistical testing data.• Developed an automated optimization and statistical evaluation process for matching structural simulations with actual product failures using Bayesian methods with unbalanced data that improved failure prediction accuracy over 300% and saved millions of dollars.• Technical and Project Lead for several product releases that generated over $125MM. Won 2 industry awards and was a finalist for a World Drilling award. Managed engineering teams and wrote optimization and applied statistics algorithms to improve product designs.• Lead FEA Analyst – Developed new CAE/FEA methods, failure analyses, and develop experiments• Developed novel PDC cutter geometry to improve drilling efficiency and reduce failures• Wrote reliability standards for the Drill Bits business segment for the Chief Engineers Office• Reviewed all projects for reliability standards and statistical verification methods

- Lead mechanical analyst for several major reactor heavy equipment components in support of the OHIO class replacement program.- Oversee work of several junior engineers and perform analyses as necessary- Support project scheduling and act as main point of contact between vendors and design/analysis communities

KAPL Advanced Engineering Program (KAEP)/ Engineering Leadership Development Program (ELDP) - local rotational assignments and field assignments abroad in parallel with graduate school and leadership trainingLocation & Assignment:KAPL - Designed a multimillion-dollar materials processing facility/laboratory and equipment. Managed the project from pre-concept through initial procurement and secured government funding.Reactor Plant Contractors’ Office (RPCO), Pearl Harbor Naval Shipyard, HI - Provided technical oversight for naval nuclear operations and procedures. Developed a personnel training database.KAPL - Developed and released a computer program to automate the mechanical analysis of reactor vessels and adjacent equipment.Prime Contractors’ Office, Babcock & Wilcox (B&W), Lynchburg, VA - Monitored nuclear core fabrication operations with specific focus on non-destructive testing techniques.KAPL - Designed equipment for the transportation and storage of nuclear waste.Helped manage and design the first internally owned national corporate leadership development conference for Bechtel Marine Propulsion Corporation.

Hired into the Engineering Leadership Development Program (ELDP) at Knolls Atomic Power Laboratory - local rotational assignments and field assignments abroad in parallel with graduate school and leadership training

Fundamentals of Engineering (FE) exam preparatory course.

Experimental evaluation of the interfacial fracture toughness of bi-material specimens.

High resolution transmission electron microscopy study of single crystalline aluminum nitride.