Experience

Manning Publications Co.

• United States
• Book and Periodical Publishing
• 1 - 100 Employee

• Author

  • Mar 2023 - 10 months

  Author of the book LLMs in Production. You can learn more as well as get early access and preorder the book here: http://mng.bz/YRg7



Shopify

• Canada
• Software Development
• 700 & Above Employee

• Machine Learning Infrastructure Engineer

  • Jul 2022 - 1 year 6 months

  Remote MLOps focused role helping to build and support the ML Platform. Specifically specialized in supporting Online Inference projects deploying ML models as services. You can see this article to get a better idea on what I've worked on and built. https://shopify.engineering/shopifys-machine-learning-platform-real-time-predictions Current work has focused a lot around VertexAI and GCP Cloud Infrastructure.



MX

• United States
• Financial Services
• 400 - 500 Employee

• Senior Machine Learning Engineer | Data Engineer

  • Nov 2019 - Jul 2022

  Lehi, Ut I came in as MX's first Data Engineer, hired alongside our first Data Scientist. This gave me a front row seat to experiences that most don't see like helping build the data science team from the ground up and almost single-handedly building the MLOps platform from scratch.



IM Flash

• United States
• Semiconductors
• 400 - 500 Employee

• Data Scientist and Module Owner for RDA (Real-time Defect Analysis) Team

  • Aug 2015 - Nov 2019

  Lehi, UT Programmed a defect classification tool using computer vision and deep learning in Python and JSL Created add-in to simplify experiment analysis, improve statistical decision making, and to generate in-depth PowerPoint report using JSL and Python—saving 50 hours a week Built and deployed a wafer map analysis model to catch circle scratches to avoid excursions Mentor in machine learning project to correlate WIS wafer map images to metrology film thickness measurements Received… Show more Programmed a defect classification tool using computer vision and deep learning in Python and JSL Created add-in to simplify experiment analysis, improve statistical decision making, and to generate in-depth PowerPoint report using JSL and Python—saving 50 hours a week Built and deployed a wafer map analysis model to catch circle scratches to avoid excursions Mentor in machine learning project to correlate WIS wafer map images to metrology film thickness measurements Received technical excellence award for automating advanced inline die loss, defect kill rate, defect projection calculations, and defect to probe correlations Created and maintained MSSQL database for RDA NAND technologies for IDL and tool error logging Wrote conversion reporting script to pull, clean and analyze large data sets and generate reports Deployed add-in scripts to multiple sites working with global teams to support the transfer Built defect source and transition analysis tools to simplify defect evolution studies and determine area contributions using JSL/SQL Designed knowledge sharing web application to improve response time and accuracy to out of control events Published white paper in IM Flash Technical Conference on user centered design and indexing based search Provide worldwide technical assistance for scripting and statistical analysis as JMP Super User Improved 3D XPOINT MOL yields by 70% through leading teams to reduce Cu interconnect defectivity Achieved best in Micron network yields by reducing NAND defect probe bin die kills by 26%

• Process Engineer for Implant/PVD Team

  • Jun 2013 - Aug 2015

  Lehi, UT Automated conversion analysis by writing JMP/JSL script to collect, analyze, and report equipment data Mitigated excursionary events by enhancing test sensitivity, accuracy, and repeatability of qualifications after maintenance events by optimizing implant and RTP recipes Improved tool availability by two weeks per year for highest constraint tool set by designing new test system to eliminate potential for cross contamination saving purge time Streamlined shift response through… Show more Automated conversion analysis by writing JMP/JSL script to collect, analyze, and report equipment data Mitigated excursionary events by enhancing test sensitivity, accuracy, and repeatability of qualifications after maintenance events by optimizing implant and RTP recipes Improved tool availability by two weeks per year for highest constraint tool set by designing new test system to eliminate potential for cross contamination saving purge time Streamlined shift response through redesigning reaction mechanisms and reporting templates



Brigham Young University

• United States
• Higher Education
• 700 & Above Employee

• Research Assistant for Coal Turbine Lab with Dr. Tom Fletcher

  • Aug 2010 - Apr 2013

  Provo, Utah Goal: Simulate and study coal deposition of ash particles on turbine blades Wrote MatLab code to determine surface temperature of turbine blades based on RGB pixels Improved accuracy by 75% of MatLab code by applying light theory to accurately calibrate a high-temperature RGB camera Fixed Coulter Counter LS100 machine saving $6000, half the budget for the year Changed an ash milling system to provide a 95% yield, up from a 10% yield



IM Flash

• United States
• Semiconductors
• 400 - 500 Employee

• Intern for Ion Implantation Team

  • May 2012 - Aug 2012

  Lehi, UT Goal: Develop a new qualification procedure using an X-ray Photoelectron Spectrometer (XPS) to reduce test time, mitigate risks, and lower overhead costs Led a team of five engineers to characterize the XPS and developed a procedure for implementation saving the company $500,000-$1,200,000+ per year Created and developed a new community website in SharePoint to increase communication within the team Performed routine data analysis in JMP to help teammates