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Chad Eckman Email & Phone Number

Senior Software Engineer, Machine Learning at LifeStreet
Location: West Hollywood, California, United States 8 work roles 2 schools
1 work email found @lifestreet.com LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 86%

Contact Signals · 1 work email

Work email c****@lifestreet.com
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Current company
Role
Senior Software Engineer, Machine Learning
Location
West Hollywood, California, United States
Company size

Who is Chad Eckman? Overview

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Quick answer

Chad Eckman is listed as Senior Software Engineer, Machine Learning at LifeStreet, a company with 53 employees, based in West Hollywood, California, United States. AeroLeads shows a work email signal at lifestreet.com and a matched LinkedIn profile for Chad Eckman.

Chad Eckman previously worked as Software Engineer, Machine Learning at Lifestreet Corporation and Machine Learning Operations Analyst at Lifestreet Corporation. Chad Eckman holds Master’S Degree, Mathematics from California Polytechnic State University-San Luis Obispo.

Company email context

Email format at LifeStreet

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{first}.{last}@lifestreet.com
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AeroLeads found 1 current-domain work email signal for Chad Eckman. Compare company email patterns before reaching out.

Profile bio

About Chad Eckman

Resourceful full-stack software engineer with 5 years experience in developing machine learning software and internal tooling/UI. Passion for writing, testing, and maintaining succinct, high-quality code. Problem solver and quick learner.Technical Experience: Go, Python, Typescript, Shell Scripting, HTML, CSS, AWS, Kubernetes, Docker, Google Cloud (GCP), C++, Matlab, Mathematica, R

Current workplace

Chad Eckman's current company

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LifeStreet
Lifestreet
Senior Software Engineer, Machine Learning
West Hollywood, CA, US
Website
Employees
53
AeroLeads page
8 roles

Chad Eckman work experience

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

Senior Software Engineer, Machine Learning

West Hollywood, CA, US

Software Engineer, Machine Learning

Current

San Francisco, California, US

  • Write modular, secure, and well-tested code in Go for a platform that manages the training and testing pipelines of ML models
  • Design and develop services hosted on kubernetes clusters that store and manage large sets of data used in ML model training
  • Create backend services and UIs to assess and evaluate ML model accuracy
  • Deliver improvements to internal tooling and developer environment to decrease software deployment time
  • Work in an agile software development team with regular code reviews and pair-programming working sessions
Aug 2019 - Present

Machine Learning Operations Analyst

San Francisco, California, US

  • Develop programs in Python to automate the training and testing of advertiser-specific ML models and create result pages for evaluation
  • Manage daily ML models build queue, working closely with account managers to design and create client-specific algorithms for A/B testing
  • Create backend services and UIs to automate daily hands-on optimization and ongoing feature requests from business team
  • Design and perform data science research projects to refine best practices, such as a statistical analysis of A/B testing strategies
Jul 2018 - Aug 2019

Media Analyst

San Francisco, California, US

  • Data-driven in-app advertising technology company that utilizes customer data to maximize return on advertiser spend
  • Makes daily optimizations for several accounts such as A/B testing of algorithms, supply assessment, and ad-hoc analysis
  • Collaboration with engineers that build neural-network machine learning algorithms used to predict conversion rate of customers, providing business insight to the construction process
  • Work on independent project to automate discrepancy reports, using Python to access internal and tracking agency APIs
Aug 2016 - Jul 2018

Research Assistant

San Luis Obispo, CA, US

  • Worked with Dr. Danielle Champney to research educational standards and techniques
  • Developed modular, task-based curriculum to cultivate approximation skills, connected each task to different subjects in the STEM fields
  • Created assessment tools to assess students and linked curriculum to different Common Core standards in Mathematics
Jun 2015 - Mar 2016

Teaching Associate

San Luis Obispo, CA, US

  • Instruct three sections of Pre-Calculus Algebra I & II courses, one section of Pre-Calculus Trigonometry
  • Constructs/executes long term, unit, and daily lesson plans, including inquiry-based learning and task-based curriculum
  • Write quizzes/exam material to evaluate and assess 100+ Cal Poly undergraduates
  • Facilitate classroom environment open and inclusive to diverse views and needs
Dec 2013 - Mar 2016

Research Assistant

San Luis Obispo, CA, US

  • Worked with Dr. Erin Pearse to develop and test a Geometric Harmonics algorithm to replace missing points in large sets of data
  • Used Matlab to test and evaluate effectiveness of algorithm on artificial and real-life data
Jun 2013 - Sep 2014

Teaching Assistant/Grader

San Luis Obispo, CA, US

  • In class tutor and assistant for two STAT 301 Statistic I courses, helped evaluate/grade student work
Sep 2013 - Dec 2013
Team & coworkers

Colleagues at LifeStreet

Other employees you can reach at lifestreet.com. View company contacts for 53 employees →

2 education records

Chad Eckman education

Master’S Degree, Mathematics

California Polytechnic State University-San Luis Obispo

Bachelor'S Degree, Mathematics

California Polytechnic State University-San Luis Obispo
FAQ

Frequently asked questions about Chad Eckman

Quick answers generated from the profile data available on this page.

What company does Chad Eckman work for?

Chad Eckman works for LifeStreet.

What is Chad Eckman's role at LifeStreet?

Chad Eckman is listed as Senior Software Engineer, Machine Learning at LifeStreet.

What is Chad Eckman's email address?

AeroLeads has found 1 work email signal at @lifestreet.com for Chad Eckman at LifeStreet.

Where is Chad Eckman based?

Chad Eckman is based in West Hollywood, California, United States while working with LifeStreet.

What companies has Chad Eckman worked for?

Chad Eckman has worked for Lifestreet, Lifestreet Corporation, and California Polytechnic State University.

Who are Chad Eckman's colleagues at LifeStreet?

Chad Eckman's colleagues at LifeStreet include Mike Nuzdhin, Osama Majid, James Massey, Christy Labrador Nakpil, and Ольга Григорьева.

How can I contact Chad Eckman?

You can use AeroLeads to view verified contact signals for Chad Eckman at LifeStreet, including work email, phone, and LinkedIn data when available.

What schools did Chad Eckman attend?

Chad Eckman holds Master’S Degree, Mathematics from California Polytechnic State University-San Luis Obispo.

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