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Zhenghan Fang Email & Phone Number

AI/ML @ SpaceX|🚀 267 🌟 5 at SpaceX
Location: Hawthorne, California, United States 5 work roles 2 schools
1 work email found @spacex.com LinkedIn matched
4 data sources Profile completeness 86%

Contact Signals · 1 work email

Work email z****@spacex.com
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Current company
Role
AI/ML @ SpaceX|🚀 267 🌟 5
Location
Hawthorne, California, United States

Who is Zhenghan Fang? Overview

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Quick answer

Zhenghan Fang is listed as AI/ML @ SpaceX|🚀 267 🌟 5 at SpaceX, based in Hawthorne, California, United States. AeroLeads shows a work email signal at spacex.com and a matched LinkedIn profile for Zhenghan Fang.

Zhenghan Fang previously worked as Machine Learning Engineer II at Spacex and Machine Learning Engineer at Spacex. Zhenghan Fang holds Master Of Science - Ms, Computer Science - Artificial Intelligence from University Of Southern California.

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{first}.{last}@spacex.com
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AeroLeads found 1 current-domain work email signal for Zhenghan Fang. Compare company email patterns before reaching out.

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About Zhenghan Fang

Next stop Mars

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Zhenghan Fang's current company

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SpaceX
Spacex
AI/ML @ SpaceX|🚀 267 🌟 5
Website
AeroLeads page
5 roles

Zhenghan Fang work experience

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

Machine Learning Engineer Ii

Current

Hawthorne, California, US

Jul 2023 - Present

Machine Learning Engineer

Hawthorne, California, US

  • Developed inspection process using photogrammetry and NeRF on drone scan to reconstruct and analyse rockets
  • Set up distributed ML model infrastructure, using Ray Train/Serve, and MLFlow on k8s
  • Used ML to accelerate fluid thermal dynamic simulation solver to reduce calculation time from 100 ms to sub-millisecond
  • Implement state-of-the-art machine learning techniques from papers to improve the in-house production model
Sep 2021 - Jul 2023

Associate Machine Learning Engineer

Hawthorne, California, US

  • Trained various ML/DL models for object detection, image classification, and segmentation
  • Optimized manufacturing parameters using data mining
Jun 2021 - Sep 2021

Graduate Research Assistant

Los Angeles, California, US

Create a multi-headed computer vision model based system for sewer pipe inspection, detecting defects and their severity, estimating water levels, and other critical information.

Jan 2022 - Oct 2022

Laboratory Assistant

University Park, PA, US

Deep Learning and Mathematic, with Dr. Jinchao Xu Investigated extensively about linear separability of MNIST dataset using logistic regressionStudied loss progression of popular datasetsPython, TensorFlow, Keras, PyTorch, Logistic Regression, DNN, CNN, ResNet and MGNet(multigrid network)

Feb 2019 - Aug 2021
Team & coworkers

Colleagues at SpaceX

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2 education records

Zhenghan Fang education

Master Of Science - Ms, Computer Science - Artificial Intelligence

University Of Southern California

Bachelor Of Science - Bs, Computer Science

Penn State University
FAQ

Frequently asked questions about Zhenghan Fang

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

What company does Zhenghan Fang work for?

Zhenghan Fang works for SpaceX.

What is Zhenghan Fang's role at SpaceX?

Zhenghan Fang is listed as AI/ML @ SpaceX|🚀 267 🌟 5 at SpaceX.

What is Zhenghan Fang's email address?

AeroLeads has found 1 work email signal at @spacex.com for Zhenghan Fang at SpaceX.

Where is Zhenghan Fang based?

Zhenghan Fang is based in Hawthorne, California, United States while working with SpaceX.

What companies has Zhenghan Fang worked for?

Zhenghan Fang has worked for Spacex, Usc Viterbi School Of Engineering, and Penn State College Of Engineering.

Who are Zhenghan Fang's colleagues at SpaceX?

Zhenghan Fang's colleagues at SpaceX include Joseph Salopek, Michael Webb, Geoffrey Parkes, Glen Mead, and Jamie G..

How can I contact Zhenghan Fang?

You can use AeroLeads to view verified contact signals for Zhenghan Fang at SpaceX, including work email, phone, and LinkedIn data when available.

What schools did Zhenghan Fang attend?

Zhenghan Fang holds Master Of Science - Ms, Computer Science - Artificial Intelligence from University Of Southern California.

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