Nathaniel Goh
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Nathaniel Goh Email & Phone Number

Software Engineer at Gem
Location: San Francisco Bay Area, United States, United States 11 work roles 2 schools
1 work email found @lab126.com LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 86%

Contact Signals · 1 work email

Work email g****@lab126.com
LinkedIn Profile matched
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Current company
Gem
Role
Software Engineer
Location
San Francisco Bay Area, United States, United States

Who is Nathaniel Goh? Overview

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Quick answer

Nathaniel Goh is listed as Software Engineer at Gem, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at lab126.com and a matched LinkedIn profile for Nathaniel Goh.

Nathaniel Goh previously worked as Data Engineer I at Natron Energy and Software Development Engineer at Amazon. Nathaniel Goh holds Master'S Degree, Computer Science (Information Management And Analytics) from Stanford University.

Company email context

Email format at Gem

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{last}@lab126.com
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AeroLeads found 1 current-domain work email signal for Nathaniel Goh. Compare company email patterns before reaching out.

Profile bio

About Nathaniel Goh

Nathaniel Goh is a Software Engineer at Gem.

Current workplace

Nathaniel Goh's current company

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Gem
Gem
Software Engineer
California, United States
AeroLeads page
11 roles

Nathaniel Goh work experience

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

Software Engineer

Gem

California, United States

Data Engineer I

Current

Designed and optimized ETL pipelines using Dagster, cutting manual data processing time and boosting data accuracy. – Developed a battery pack analysis pipeline, cutting quality assurance time by ~30% and accelerating product release. – Automated data migration and analysis from testing equipment to local file servers.Streamlined data workflows using.

Feb 2024 - Present

Software Development Engineer

Seattle, WA, US

Joined the Alexa Local Concierge team, utilizing APIs to provide restaurant reservation functionalities on Alexa devices.Migrated core business logic from Alexa Conversations to Interaction Models to improve user experience.Engineered a mocking testing framework using Java reducing integration testing failure rate by ~30%.

Dec 2022 - Jan 2024

Data Engineer Intern

Deployed an automated Python-SQL analysis Dagster pipeline, achieving a ~300% improvement in analysis reporting speed.Spearheaded the migration from a legacy system to a Python-Dash web form system.

Jun 2022 - Dec 2022

Software Development Engineer Intern

Sunnyvale, CA, US

Designed and implemented a bookmarking system for Alexa Local Information using Java and DynamoDB.

Jun 2021 - Sep 2021

Computer Science Research Intern

Stanford, CA, US

Executed assessment of a simplified authoring system for PopBot’s: an “army” of tiny chatbots for stress management. Performed a pilot study of 13 participants to evaluate the difficulty of authoring conversation micro-intervention.

Jun 2020 - Aug 2020

Cs106A: Code In Place Section Leader

Stanford, CA, US

Part of a teaching team for Code in Place, offered by Stanford during COVID-19 pandemic, with 10,000 global students and 900 volunteer teachers participating from around the world.Prepared and taught a weekly discussion section of 10-12 students to supplement professors’ lectures in a 5-week introductory online Python programming course based on material.

Apr 2020 - May 2020

Data Analyst Intern

Stanford, CA, US

Leveraged R to develop and apply geostatistical methods to 44 flux towers and 11 climatic variables.Engaged in analyzing the global coverage of methane flux towers to assess how representativeness is the network to the world's climatic conditions.

Jun 2019 - Aug 2019

Cs Instructor

Stanford, CA, US

Instructor teaching 20 high school students basic CS concepts through iOS app development using Swift. Delivered crash course on problem-solving through an engineer's perspective.

Jun 2019 - Jun 2019

Material Science Research Intern

Kalamazoo, MI, US

Synthesized lead-halide perovskites for their potential in manufacturing flexible LED displays.- 2018 Intel International Science and Engineering Fair Finalist- 18th Southwest Michigan Science and Engineering Fair Grand Champion

Oct 2017 - May 2018

Biochemistry Research Intern

Kalamazoo, MI, US

Investigated various spectroscopic methods such as single-photon and two-photon spectroscopy to determine the viability of using DNA bio-sensors in detecting lead and mercury in aqueous solutions.- 2017 Intel International Science and Engineering Fair Finalist- 2017 Semifinalist of the Siemens Competition in Math, Science & Technology- 17th Southwest.

Oct 2016 - May 2017
2 education records

Nathaniel Goh education

Master'S Degree, Computer Science (Information Management And Analytics)

Stanford University

Undergraduate, Computer Science (Artificial Intelligence)

Stanford University
FAQ

Frequently asked questions about Nathaniel Goh

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

What company does Nathaniel Goh work for?

Nathaniel Goh works for Gem.

What is Nathaniel Goh's role at Gem?

Nathaniel Goh is listed as Software Engineer at Gem.

What is Nathaniel Goh's email address?

AeroLeads has found 1 work email signal at @lab126.com for Nathaniel Goh at Gem.

Where is Nathaniel Goh based?

Nathaniel Goh is based in San Francisco Bay Area, United States, United States while working with Gem.

What companies has Nathaniel Goh worked for?

Nathaniel Goh has worked for Gem, Natron Energy, Amazon, Amazon Lab126, and Stanford University.

How can I contact Nathaniel Goh?

You can use AeroLeads to view verified contact signals for Nathaniel Goh at Gem, including work email, phone, and LinkedIn data when available.

What schools did Nathaniel Goh attend?

Nathaniel Goh holds Master'S Degree, Computer Science (Information Management And Analytics) from Stanford University.

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