Joshua P. Olson

*** ********* ** **** ***

Houston, TX 77018

314-***-****

Email: adynyz@r.postjobfree.com

EXECUTIVE SUMMARY

Machine Learning and Chemical Engineer seeking chemical process engineer or management role. Over 7 years of experience at a Fortune Top 10 company including MLE end-to-end cloud based solutions, chemical engineering project technical Lead on projects saving $1M/yr at $0 investment and $80M international capital expansion project. Built, deployed, and maintained enterprise grade Machine Learning Engineering solution to improve operations and reduce costs at the scale of multiple $M/year.

EDUCATION

Arizona State University Masters in Computer Science (2020 - 2022)

GPA: 3.62

University of Houston Computer Science Graduate Prerequisites (2019-2020)

GPA: 4.0/4.0

UNC Kenan-Flagler Business School Executive Development (2018)

AUBURN UNIVERSITY Bachelor of Chemical Engineering – AUBURN, AL (2013)

GPA 3.60 (Magna Cum Laude)

HARD SKILLS

Machine Learning Engineering: Azure DataBricks cloud-scale platform for machine learning and data analytics, Azure Data Explorer high performance big data analytics platform, MLflow platform for managing end-to-end machine learning lifecycle, Microsoft Power BI platform to analyze and visualize large data sets.

Programming Languages: Java, C++, Python, Kotlin, Scala, IOS Swift, SQL, Kotlin Query Language, MATLAB, PI Process Book

Data statistical analysis, CNN training, mobile application development, database development, Computer Vision, cryptography, information security, blockchain

Team leadership: project lead on remote teams implemented cloud collaboration tools, version control, and managed team member deliverables to deliver ahead of schedule. Resulting in speed to market and reduced costs.

Technology project lead: opportunistically identified cost reduction opportunities both at $0 investment cost and those with ROI greater than 100%. Projects included developing new technologies and $80M+ facilities installations internationally.

Academic success: Selected and admitted into Tao Beta Pi Engineering Honor Society

SOFT SKILLS

Leadership on projects ranging from software development to $50M international industrial projects

Ownership of tasks and follow through

Initiative and collaboration

Mentorship and training

Attention to detail

Identifying improvement opportunities

Willingness to learn

EXPERIENCE

Machine Learning Engineer – ExxonMobil Aug 2022 – Current

Built, deployed, and maintained enterprise grade Machine Learning Engineering solution to improve operations and reduce costs at the scale of multiple $M/year.

oAzure Databricks cloud-scale platform utilized.

oCloud based machine learning solution included: data pipeline gathering data automatically, large data sets efficiently handled with Azure Data Explorer, feature engineering, ML model training with model repository and version control, and model results and process data visualized and shared with customer using Microsoft Power BI.

oOwnership, collaboration, teamwork, and leadership demonstrated across organizations.

Contributed to flagship project by improving model performance and reliability.

oModel performance improvement achieved through modifications to provide additional data to business end users while ensuring data integrity.

oStrong ownership of tasks and follow through demonstrated by implementing initial solutions quickly meeting business needs. Instigating review with stakeholders and identifying more efficient solutions which were achieved by cross organization collaboration.

oImproved reliability by proactively identifying unknown bugs and follow through to resolve issues.

Improved new employee training, project documentation, and alignment on technology stack and MLE services offered.

oLed effort creating central repository for Machin Learning Engineering training, services offered, technology stack, pipeline best practices, and documentation of projects completed. Consisted of compiling training materials, researching and documenting current projects, aligning on technology and pipeline best practices, MLE services offered, team collaboration, and peer review.

EXXONMOBIL CHEMICAL COMPANY - Baytown, TX

Process Technology Chemical Engineer (July 2016 to June 2019)

Provide technical engineering support to global network of Gas Phase Metallocene Polyethylene Reactors.

Engineering support for manufacturing units, technology lead on projects implementing new catalyst technologies and $80M+ facility installations.

Inventor on the following filed patents: 62/754217 in-line trimming of dry-catalyst feed; 62/754224 online adjustment of mixed catalyst ratio and olefin polymerization; 62/754231 online adjustment of catalyst ratio and olefin polymerization with the same; 62/754241 online adjustment of catalyst by trim and olefin polymerization; 62/754248 slurry trim feeder modifications

EXXONMOBIL CHEMICAL COMPANY - Mont Belvieu, TX

Process Engineer Metallocene Catalyst Manufacturing Unit (June 2013 to July 2016)

Responsible for unit troubleshooting, quality, cost reduction projects, and emissions improvement projects.

Led multiple quality investigations and capital improvement projects from inception to completion achieving annual savings of $1 million.

Led startup and shutdown procedures, maintaining compliance with plant operations manual and technical guidelines.

Authored bid packages for projects ranging from minor tasks to large capital layouts, incorporating customer goals and budgets.

Adhered to various Safety Management Protocol standards.

Developed processes based on critical needs, preset efficiency standards and cost reduction measures.

Project Experience - Arizona State University MS in CS 2020 - 2022

Data Processing at Scale spatial statistics to identify statistically significant clusters in a “Big Data”

oThese projects provided learning in processing large data sets, statistical analysis, and underlying technology implementations of SQL Databases, Apache Spark, and Scala programing language.

Android application development using Kotlin and Java programming languages.

oConvolutional Neural Networks (CNN’s) were trained. Technologies utilized were Python, OpenCV (Computer Vision), TensorFlow, and Keras.

oMobile Application accessed smartphone camera and utilized the trained CNN to convert hand gestures into instructions for Smart Home Thermostat control.

iPhone mobile application developed using IOS Swift and XCODE.

oDevelopment included User interface, multiple screens with dynamic screen navigation, user data collection and responses to user input.

Blockchain network and smart contract development and deployment.

oHyperledger fabric network deployed and smart contracts developed.

oExecuting financial transactions with the Dash public blockchain.

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