Summary
Overview
Work History
Education
Skills
Timeline
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Taylor Clayton

Greater San Antonio Area,TX

Summary

Results-driven Machine Learning Engineer with extensive experience in developing end-to-end ML solutions, from data preprocessing and model development to deployment and optimization. Strong background in optimization algorithms, control systems, and mathematical modeling, with a focus on improving system efficiency and performance. Proven ability to deliver high-impact solutions, utilizing deep learning, reinforcement learning, and statistical methods, while collaborating cross-functionally to drive business success. Passionate about continuous learning and staying ahead of emerging trends in AI and machine learning.

Overview

10
10
years of professional experience

Work History

Machine Learning Data Scientist

General Motors Co
03.2025 - Current
  • Developed Machine Learning algorithms to diagnose L87 engine failures days to weeks in advance with potential savings in the tens of millions, as well as improved vehicle safety and customer satisfaction.
  • Utilized advanced querying, visualization and analytics tools to analyze and process complex data sets from multiple data sources and data types.
  • Performed feature extraction and selection using Random Forests Out-of-Bag importance values on handcrafted statistical features from windowed data.
  • Developed training scripts within Databricks platform to perform model selection, hyperparameter tuning, and performance tracking using libriaries such as MLFlow, Optuna, Tensorflow, & Pyspark

Algorithm Development Engineer - NextGen Controls

General Motors
07.2019 - 03.2025
  • Led group of controls engineers and data scientist in developing state-of-the-art road surface friction estimator utilizing Machine Learning (ML), detailed physics models, and extended Kalman filters with focus on low acceleration regions
  • Led cross-functional controls meetings to change software architecture of brake controller to enable significant improvement of traction and stability control for all future EV platforms, including assessing feasibility of ML solutions
  • Led weekly cross-functional controls technical meetings for future $300k+ ultra-performance electric vehicle (EV) to discuss new/improved controls feature development, integration, timing, and progress
  • Invented new ML algorithm to correct errors in brake rotor temperature physics estimation model with over 100% improvement in performance
  • Created Neural Network validation tool in Julia to test robustness to unseen data for production-intent models to ensure safe, reliable control performance
  • Wrote production-level embedded C code for handling Model Predictive Control (MPC) vehicle motion constraints and inputs generation for 2022 EV Hummer Legacy Edition and other future vehicles
  • Collaborated with MPC supplier to develop tools for validating numerical precision of GM in-house MPC

Mechanical Engineering Co-Op Intern

Tesla
05.2018 - 12.2018
  • Programmed a $40k+ collaborative robot arm for a car seat assembly line with ROI of 6 months of use
  • Designed lightweight end-of-arm tool for collaborative robot within strict weight and dimension restraints
  • Worked alongside PLC programmers to interface robot arm with full-scale car seat assembly line

Mechanical Engineering Intern

Columbia Pipeline Group
06.2015 - 09.2015
  • Wrote program in Excel VBA to efficiently filter and manipulate large data dumps for specific purchases to automate future project cost estimations.

Education

Master of Science (M.S.) - Mechanical Engineering

Carnegie Mellon University
Pittsburgh, PA
12-2019

Bachelor of Science (B.S.) - Mechanical Engineering

Stanford University
Palo Alto, CA
12-2016

Skills

  • Python, Tensorflow, Pytorch, C/C, Java, Visual Basic, MATLAB, R, HTML, Git, Docker, MLOps, AWS, Data Science, AIML, SQL
  • Supervised/Unsupervised Learning, Reinforcement Learning, Deep Learning (ex CNN, RNN, LSTM), Optimization Theory, Control Theory, Probability and Statistical Inference, NLP
  • Problem solving, Analytical Thinking, Collaboration, Communication, Research, Time Management

Timeline

Machine Learning Data Scientist

General Motors Co
03.2025 - Current

Algorithm Development Engineer - NextGen Controls

General Motors
07.2019 - 03.2025

Mechanical Engineering Co-Op Intern

Tesla
05.2018 - 12.2018

Mechanical Engineering Intern

Columbia Pipeline Group
06.2015 - 09.2015

Master of Science (M.S.) - Mechanical Engineering

Carnegie Mellon University

Bachelor of Science (B.S.) - Mechanical Engineering

Stanford University

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