Matt Lord
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Matt Lord Email & Phone Number

Machine Learning Engineer at Underdog
Location: Atlanta, Georgia, United States 10 work roles 2 schools
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Current company
Role
Machine Learning Engineer
Location
Atlanta, Georgia, United States
Company size

Who is Matt Lord? Overview

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Quick answer

Matt Lord is listed as Machine Learning Engineer at Underdog, a company with 592 employees, based in Atlanta, Georgia, United States. AeroLeads shows a matched LinkedIn profile for Matt Lord.

Matt Lord previously worked as Machine Learning Engineer at State Farm and Software Engineer II at Microsoft. Matt Lord holds Bachelor Of Science - Bs, Computer Science from Georgia Institute Of Technology.

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Email format at Underdog

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Underdog

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Profile bio

About Matt Lord

I'm a Machine Learning Engineer at State Farm and a part-time Master's in Computer Science candidate at UT Austin. I love working at the intersection of cloud computing and machine learning, helping deploy ML models reliably at scale. I'm always trying to learn new things to grow as a professional and a person. In my free time, I enjoy all things tennis and soccer, working in coffee shops, and discovering great Spotify playlists (current rotation: Apero!, Soirée, daylist).

Current workplace

Matt Lord's current company

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Underdog
Underdog
Machine Learning Engineer
Washington, DC, US
Employees
592
AeroLeads page
10 roles

Matt Lord work experience

A career timeline built from the work history available for this profile.

Machine Learning Engineer

Washington, DC, US

Machine Learning Engineer

Atlanta, Georgia, United States

- Deploying and maintaining machine learning models using Python, AWS Lambda, SNS, and Sagemaker- Building out an MLOps and experimentation platform in AWS, specifically leading the centralization of model inputs/outputs to facilitate automated monitoring

Software Engineer Ii

Atlanta, Georgia, United States

Sep 2022 - Jan 2024

Software Engineer 3, Connect

- Developed a GraphQL API that tracks over 1000 daily alerts from access network devices as they progress through an auto-remediation platform, using Go, AWS Lambda, and DynamoDB- Created dashboards that leverage the alert tracking API to visualize various alert metrics over time, using React, Typescript, and recharts.js- Architected a system to transfer.

Sep 2021 - Sep 2022

Core Technology Associate, Nbc News Digital Web, Commerce

- Increased revenue 30% MoM for NBCNews/Today commerce articles promoted on Apple News by creating features to advertise multiple vendors and sale prices for promoted products- Developed features for the NBC News Digital editorial tools using React to improve the editor and reader experience- Automated Walmart and Amazon product category tagging in.

Mar 2021 - Sep 2021

Core Technology Associate, Content Delivery Network Analytics

Denver, Colorado, United States

- Enabled self-reporting metrics for a log to Kafka forwarder to track per minute application performance on over 2500 servers using Go and ClickHouse- Built a popularity engine in ClickHouse, with Grafana dashboard to recommend efficient cache dispersion for CDN content- Developed alerting script in Python and SQL to send Slack alerts for ClickHouse errors

Sep 2020 - Mar 2021

Core Technology Associate, Next Gen Access Network Data Science And Engineering

Greater Philadelphia Area

- Created a graph representation of the Comcast access network in AWS Neptune to model connections from cable modem termination system (CMTS) to customer premises equipment (CPE), allowing for improved network diagnostics, tracing, planning, and general foresight- Built an automated ETL pipeline to gather data from multiple disjoint Comcast data sources.

Jul 2019 - Sep 2020

Software Engineer Intern, Techstars Program

Atlanta, Georgia

- Created command and query services in Java as part of an Event Sourced CQRS model for the UltiPro Integrations platform- Developed front end functionality in Angular to connect backend services to UI- Completed a proxy service in Angular to retrieve environment variables from vault storage for injection to microservices during deployment

Aug 2018 - Dec 2018

Software Engineer Intern

Charleston, South Carolina

- Automated the creation and distribution of Advanced User Rights documents for Microsoft Azure resources using C#/.NET and Azure Blob Service REST API, a previously manual process for the entire engineering department- Created team web page to gather and export team email addresses for ease of communications to owners of over 100 services- Developed an.

May 2018 - Aug 2018

Undergraduate Research Assistant

- Assisted graduate students with analyzing computer science e-book Data to determine characteristics of successful/unsuccessful students- Assisted doctoral student scoring student codewriting exercises from an experiment regarding different types of programming questions- Created visualizations using Tableau showing gender differences in AP course.

Aug 2017 - May 2018
Team & coworkers

Colleagues at Underdog

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2 education records

Matt Lord education

Master Of Science - Ms, Computer Science

Coursework: - In progress: Natural Language Processing - Completed: Deep Learning, Advanced Operating Systems, Parallel Systems, Machine.

FAQ

Frequently asked questions about Matt Lord

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What company does Matt Lord work for?

Matt Lord works for Underdog.

What is Matt Lord's role at Underdog?

Matt Lord is listed as Machine Learning Engineer at Underdog.

Where is Matt Lord based?

Matt Lord is based in Atlanta, Georgia, United States while working with Underdog.

What companies has Matt Lord worked for?

Matt Lord has worked for Underdog, State Farm, Microsoft, Comcast, and Comcast Nbcuniversal.

Who are Matt Lord's colleagues at Underdog?

Matt Lord's colleagues at Underdog include Max Drazdik, Marco Sandoval, Yani Amaya, Kunaal Menon, and Ben Kondel.

How can I contact Matt Lord?

You can use AeroLeads to view verified contact signals for Matt Lord at Underdog, including work email, phone, and LinkedIn data when available.

What schools did Matt Lord attend?

Matt Lord holds Bachelor Of Science - Bs, Computer Science from Georgia Institute Of Technology.

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