Project Manager Machine Learning

LANCE A. ENDRES, PH.D.

***********@*****.*** • linkedin.com/in/lanceaendres • github.com/lendres • 832-***-**** Summary

An experienced project manager, team leader, and researcher who is well versed in working on internationally based teams. Creative thinker with a track record of solving difficult problems. Areas of expertise include:

• Drilling Dynamics

• Drilling Mechanics

• Machine Learning

• Artificial Intelligence

• Computational Mechanics

• Computational Dynamics

• Data Science

• Software Development

• Software Architecture

• Research

• Project Management

• Team Leading

Experience

CNPC USA - Houston, TX

Manager for Digital, Automation, and Interpretation 12/2024 - Current

Team Manager for Digial, Automation, and Interpretation

• Conducted regular performance reviews and coaching sessions.

• Facilitated conflict resolution and team-building activities to foster a collaborative work culture.

• Collaborated with senior leadership to align team objectives with strategic business goals.

• Managed resource planning, project delegation, and training initiatives to ensure high team per- formance.

• Reported on key metrics, project status, and risks to stakeholders in monthly progress meetings. CNPC USA - Houston, TX

Senior Research Engineer

9/2022 - 12/2024

Project leader for developing physics and data based prediction software.

• Used industry contacts to license software and access open-source software, rapidly accelerating the modeling program at the company.

• Manage software projects utilizing in-house and third party resources.

• Mentor and guide developers and researchers.

IKOSY TECHNOLOGIES - Spring, TX

Founder and President

3/2021 - 9/2022

Founded Ikosy Technologies to create easy-to-use desktop pick-and-place technology.

• Identified the business opportunity and formulated the business plan.

• Designed a desktop-sized pick-and-place machine that uses G-code to assembly electronics.

• Recruited and led a team of founders.

APS TECHNOLOGY - Houston, TX

Principal Engineer

1/2014 - 6/2020

Areas of work included developing engineering software, data analysis, and drilling dynamics.

• Developed an FEA based software used for structural analysis of drill strings.

• The software calculates deflections, stresses, natural frequencies, and mode shapes. Lance A. Endres Page 2

• The software is used to assess the bending capabilities and stress limits of drill strings and assess the consequences of design changes.

• Developed a software application used to automate the cleaning and processing of data.

• The software uses specialized data processing techniques and algorithms to automatically separate the data into drilling versus non-drilling time (up time versus down time). BAKER HUGHES - The Woodlands, TX

Researcher in Drilling Mechanics and Dynamics

1/2006 - 11/2013

Conducted research in drilling mechanics, drilling dynamics, and developing computer models.

• Developed a proprietary computer model used to predict the dynamic behavior of drill bits.

• Model uses a hybrid physics and data driven (grey box) approach to predict behavior.

• Responsibilities included the physics, software design and architecture, algorithms, project schedule, deliverables, and budget.

• Developed a technique to reduce the cost of model fitting by an order of magnitude.

• Led an overseas based software development team.

• My research led to an improved theoretical understanding of lateral drill bit vibrations. I used this understanding to create new techniques for designing drill bits. This let engineers design bits directly rather than requiring hundreds of computer simulations that randomly searched for a solution.

• Developed a technique used to interpret laboratory data. The technique is a physics-based approach that replaced the previous assumption-based method. Additional Projects

Twitter Sentiment Analysis for Airline Services

Identify the sentiment from a tweet to understand an airlines’ customer satisfaction. Skills: NLP, count vectorizer, TF-IDF vectorizer, TensoFlow, word embedding, LSTM, VADER Plants Seedling Image Classification

Classify plant species based on images of the seedlings using a Convolutional Neural Network. Skills: convolutional neural network, Tensorflow, Keras, Google Colab, Python Bank Customer Churn Prediction

Identify the customers that are more likely to churn by building an Artificial Neural Network. Skills: artificial neural network, Tensorflow, Keras, Google Colab, Python Publications

[1] L. Endres. Signal segmentation algorithm of Radhakrishnan, et al. ported to C and C#. Code Project, online article, June 2015.

[2] L. Endres and P. Krysl. Refinement of finite element approximations on tetrahedral meshes using charms. In Seventh U.S. National Congress on Computational Mechanics, Albuquerque, NM, July 2003.

[3] L. Endres and P. Krysl. Octasection-based refinement of finite element approximations on tetrahedral meshes that guarantees shape quality. Int J Numer Meth Eng, 59(1):69–82, 2004. Lance A. Endres Page 3

[4] L. Endres and P. Krysl. Second-order explicit integrator via composition for coupled rotating rigid bodies applied to roller cone drill bits. Commun Appl Numer M, 24(12):1923–1940, 2008.

[5] Lanson Adam Endres. Computation Modeling of Drill Bits: A New Method for Reproducing Bottom Hole Geometry and a Second-Order Explicit Integrator via Composition for Coupled Rotating Rigid Bodies. PhD thesis, UCSD, La Jolla, CA, December 2007.

[6] P. Krysl and L. Endres. Explicit Newmark/Verlet algorithm for time integration of the rota- tional dynamics of rigid bodies. Int J Numer Meth Eng, 62(15):2154–2177, 2005.

[7] M. Mahjoub, K.-L. Nguyen, N.-H. Dao, Endres L. Menand, S., C. Cheng, H. Mada, X. Feng, and J. Sun. From bit-rock interaction to BHA vibration: Experimental and numerical perspec- tives. In SPE/IADC Drilling Conference and Exhibition. March 2025.

[8] Thorsten Schwefe, L. W. Ledgerwood, Jayesh R. Jain, Danielle M. Fuselier, Hatem Oueslati, and Lance Endres. Development and testing of stick/slip-resistant PDC bits. In SPE/IADC Drilling Conference and Exhibition, pages SPE–168026–MS, March 2014.

[9] D. Yoon, E. Hamidov, L. Endres, E. Gildin, P. Pastusek, R. Shor, and X. Li. Comparing open- source drill string models: Establishing test cases and methods. In SPE Annual Technical Conference and Exhibition, September 2024.

Patents

[1] Lance A. Endres, Gregory C. Prevost, and Tyler R. Reynolds. Drill bit with distributed force profile. U.S. Patent 201********, filed June 14, 2012.

[2] Lance A. Endres, Tyler R. Reynolds, and Gregory C. Prevost. METHODS OF DESIGNING EARTH-BORING TOOLS USING A PLURALITY OF WEAR STATE VALUES AND RELATED METHODS OF FORMING EARTH-BORING TOOLS. U.S. Patent 201*********, filed Au- gust 5, 2011.

[3] Andreas Hohl, Mathias Tergeist, Hatem Oueslati, Christian Herbig, Jayesh J. Jain, Hanno Reckmann, and Lance A. Endres. Method to mitigate bit induced vibrations by intentionally modifying mode shapes of drill strings by mass or stiffness changes. U.S. Patent 201********, filed November 1, 2013.

[4] Gregory C. Prevost, Lance A. Endres, and Tyler R. Reynolds. METHODS OF DESIGNING EARTH-BORING TOOLS USING A PLURALITY OF DEPTH OF CUT VALUES AND RE- LATED METHODS OF FORMING EARTH-BORING TOOLS. U.S. Patent 201********, filed August 5, 2011.

Skill Set

• Machine Learning, Artificial Intelligence, and Data Science: ANNs, CNNs, NLP, Tensor- Flow, data analysis, data cleaning, algorithm design, scikit-learn, pandas, numpy, Matplotlib, Seaborn, XGBoost, hypothesis testing, confidence interval, Decision Trees, Random Forest, k- nearest neighbors, k-means clustering, linear regression, logistic regression, time series data, supervised learning, unsupervised learning, clustering, PIL, and OpenCV. Lance A. Endres Page 4

• Software Development: software architecture, quality control, unit testing, system checks, doc- umentation, customer interaction, C, C++, C#, Python, SQL (basic), .NET, MAUI, Visual Basic, Fortran, AutoLISP, multithreading, XML, XPath, XSLT, HTML, XHTML, CSS, QT, UML, XML Schemas, OpenGL, JavaScript, profiling, optimization, and code review.

• Software: Visual Studio, Matlab, Spyder, Jupyter Notebooks, Google Colab, AutoCAD, GitHub, iSIGHT, LaTeX, Fusion 360, Solidworks, KiCad, Photoshop, SVN, CVS, Ansys, and Project.

• Research and Engineering: design of laboratory experiments, stability analysis, signal pro- cessing, FEA, CFD (basic), plasticity, and structural engineering.

• Other: 3D modeling, 3D printing, computer trouble shooting and repair (hardware and soft- ware), basic electronics & circuits, PCB design, microprocessor basics, Arduino and Raspberry Pi, embedded programming (Arduino), soldering, and surface mount devices and reflowing. Continuing Education

GREAT LEARNING

Post Graduate Program in Generative AI for Business with Microsoft Azure 2024

UNIVERSITY OF HOUSTON

Certificate in Project Management

2023

UNIVERSITY OF TEXAS

Post Graduate Program in Artificial Intelligence and Machine Learning 2022

Education

UNIVERSITY OF CALIFORNIA, SAN DIEGO

Ph.D. in Engineering

2007

UNIVERSITY OF CALIFORNIA, SAN DIEGO

M.S. in Engineering

2004

LAWRENCE TECHNOLOGICAL UNIVERSITY

B.S. in Engineering

1999

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