Nathaniel Lam Johnson
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Nathaniel Lam Johnson Email & Phone Number

SWE Intern @ Advantest | CS @ USC | Rales Scholar at Advantest
Location: Los Angeles, California, United States 3 work roles 2 schools
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Current company
Role
SWE Intern @ Advantest | CS @ USC | Rales Scholar
Location
Los Angeles, California, United States
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Who is Nathaniel Lam Johnson? Overview

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Nathaniel Lam Johnson is listed as SWE Intern @ Advantest | CS @ USC | Rales Scholar at Advantest, a with 1702 employees, based in Los Angeles, California, United States. AeroLeads shows a matched LinkedIn profile for Nathaniel Lam Johnson.

Nathaniel Lam Johnson previously worked as Software Engineer Intern at Advantest and NeuroIOT Research Assistant at Usc Information Sciences Institute. Nathaniel Lam Johnson holds Bachelor Of Science - Bs, Computer Science from University Of Southern California.

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Advantest

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About Nathaniel Lam Johnson

Hi! I’m Nathaniel Lam Johnson (he/him) - a Presidential Scholar and a Rales Scholar studying Computer Science at at the University of Southern California. I'm currently a SWE Intern at Advantest helping develop the next generation of semiconductor automatic test equipment.I'm interested in software engineering and AI/ML opportunities for interns and I'm looking for 2025 summer internships and other opportunities where I can leverage my interests. Feel free to connect with me and reach out via email at nlj@usc.edu!

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Nathaniel Lam Johnson's current company

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Advantest
Advantest
SWE Intern @ Advantest | CS @ USC | Rales Scholar
tokyo, tokyo, japan
Website
Employees
1702
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3 roles

Nathaniel Lam Johnson work experience

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Software Engineer Intern

Current

San Jose, California, United States

- Engineer multi-threaded test framework in Java with ZeroMQ messaging protocol to link customers’s programs to edge server, reducing quality testing latency by 60 percent, saving client $1 million dollars in test floor costs- Verify and quantify framework latency improvements by programming benchmarks in Java and conducting statistical analysis in Excel and Python, presenting statistically significant results to team and customer- Automate internal image pre-processing pipeline by programming data pipeline in Python to segregate images based on metadata, perform bounding box annotation, and upload data to AWS S3 bucket for AI model training- Collaborate with a team of five to create machine learning object detection model based on YOLO and create continuous deployment pipeline in Python to identify missing components in manufacturing, reducing human quality inspection time by 10 hours per week- Architect and develop SDK in C# to securely connect customer workstations with edge computing server by adding mutual TLS encryption and RESTful API principles, allowing for customer to reuse Windows workstations to monitor tests- Build scalable document server for customer on AWS to deliver versioned documentation hosting for over 20 developer APIs, improving customer knowledge transfer process- Design and build stress test simulation for AMQP networking protocol to identify bottlenecks and optimization opportunities for next generation of data collection and processing software in semiconductor chip testers

May 2023 - Present

Neuroiot Research Assistant

Los Angeles, California, United States

- Programmed data pipeline and trained inertial navigation machine learning model in Python to transform millions of raw sensor data points to position, velocity, and acceleration during low GPS accuracy episodes in dataset, allowing for further analysis by neuroscience researchers- Developed data segmentation pipeline in Python and AI segmentation model in PyTorch to identify generate continuous measures for neuroscience research paper, processing over 50 hours of video on supercomputer cluster

Jan 2023 - May 2024

Remote Product & System Tester Intern

- Coded and tested 2-3 CleverPet device games in C++ now used in unmodified CleverPet software- Communicated programming progress and recommended changes in weekly Zoom meetings for HackerPet subgroup

May 2019 - Dec 2019
Team & coworkers

Colleagues at Advantest

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2 education records

Nathaniel Lam Johnson education

FAQ

Frequently asked questions about Nathaniel Lam Johnson

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What company does Nathaniel Lam Johnson work for?

Nathaniel Lam Johnson works for Advantest.

What is Nathaniel Lam Johnson's role at Advantest?

Nathaniel Lam Johnson is listed as SWE Intern @ Advantest | CS @ USC | Rales Scholar at Advantest.

Where is Nathaniel Lam Johnson based?

Nathaniel Lam Johnson is based in Los Angeles, California, United States while working with Advantest.

What companies has Nathaniel Lam Johnson worked for?

Nathaniel Lam Johnson has worked for Advantest, Usc Information Sciences Institute, and Fluentpet.

Who are Nathaniel Lam Johnson's colleagues at Advantest?

Nathaniel Lam Johnson's colleagues at Advantest include Tianli Hu, Matthias Stümpfle, Anthipi Schwarzenegger M.A. (Compliance), 岡崎総一郎, and Ilaya Perumal V.

How can I contact Nathaniel Lam Johnson?

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

What schools did Nathaniel Lam Johnson attend?

Nathaniel Lam Johnson holds Bachelor Of Science - Bs, Computer Science from University Of Southern California.

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