Matthew Sharp Email & Phone Number

Lehi, UT, US

Dallas, TX, US

Building and streamlining the MLOps Platform for an e-commerce startup

Shelter Island, NY, US

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

Ottawa, ON, CA

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-predictionsCurrent work has focused a lot.

Lehi, Utah, US

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.

Lehi, UT, US

Programmed a defect classification tool using computer vision and deep learning in Python and JSLCreated 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 weekBuilt and deployed a wafer map analysis model to catch circle scratches to avoid.

Lehi, UT, US

Automated conversion analysis by writing JMP/JSL script to collect, analyze, and report equipment dataMitigated excursionary events by enhancing test sensitivity, accuracy, and repeatability of qualifications after maintenance events by optimizing implant and RTP recipesImproved tool availability by two weeks per year for highest constraint tool set by.

Provo, UT, US

Goal: Simulate and study coal deposition of ash particles on turbine bladesWrote MatLab code to determine surface temperature of turbine blades based on RGB pixelsImproved accuracy by 75% of MatLab code by applying light theory to accurately calibrate a high-temperature RGB cameraFixed Coulter Counter LS100 machine saving $6000, half the budget for the.

Lehi, UT, US

Goal: Develop a new qualification procedure using an X-ray Photoelectron Spectrometer (XPS) to reduce test time, mitigate risks, and lower overhead costsLed a team of five engineers to characterize the XPS and developed a procedure for implementation saving the company $500,000-$1,200,000+ per yearCreated and developed a new community website in SharePoint.