# Nathaniel Goh

> Software Engineer @ Gem | Stanford CS BS/MS

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/nathanielgoh

## Work Experience
### Software Engineer @ Gem
Jan 2025 – Present | San Francisco Bay Area

### Data Engineer @ Natron Energy
Jan 2024 – Jan 2025 | Santa Clara, California, United States
Designed, built, and optimized scalable data processing pipelines utilizing Python, PostgreSQL, and BigQuery, significantly improving system data accuracy and eliminating manual processing overhead
– Developed a battery pack analysis pipeline, reducing quality assurance time by ~30% and accelerating product release.
– Automated data migration and analysis from testing equipment to local file servers.

Developed event-driven serverless backend microservices using Cloud Run to process and auto-load large volumes of structured vendor data, unlocking real-time system monitoring capabilities.

Fortified distributed server infrastructure across multiple geographic deployments using Docker and Docker Swarm orchestration, ensuring high availability for critical data pipelines and reducing system downtime by ~18%.

### Software Development Engineer @ Amazon
Jan 2022 – Jan 2024 | Sunnyvale, California, United States
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 ~27%.

### Data Engineer Intern @ Natron Energy
Jan 2022 – Jan 2022 | Santa Clara, California, United States
Built a Dagster-powered Python-SQL pipeline, tripling reporting speed.

Developed a Python Dash web form to customize battery test file configurations, reducing manual setup time and minimizing human error in testing workflows.

### Software Development Engineer Intern @ Amazon Lab126
Jan 2021 – Jan 2021
Designed and implemented a bookmarking system for Alexa Local Information using Java and DynamoDB.

### Computer Science Research Intern @ Stanford University
Jan 2020 – Jan 2020
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.

### CS106A: Code In Place Section Leader @ Stanford University
Jan 2020 – Jan 2020 | Online
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 from the first half of Stanford’s introductory programming course, CS106A.

### Data Analyst Intern @ Stanford University
Jan 2019 – Jan 2019
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.

### Material Science Research Intern @ Western Michigan University
Jan 2017 – Jan 2018 | Kalamazoo, Michigan Area
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

### Biochemistry Research Intern @ Western Michigan University
Jan 2016 – Jan 2017
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 Michigan Science and Engineering Fair 1st Place Team Winner


## Education
### Master's degree in Computer Science (Information Management and Analytics)
Stanford University

### Undergraduate in Computer Science (Artificial Intelligence)
Stanford University


## Contact & Social
- LinkedIn: https://linkedin.com/in/nathgoh

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Source: https://flows.cv/nathanielgoh
JSON Resume: https://flows.cv/nathanielgoh/resume.json
Last updated: 2026-04-11