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Stanley Chang Email & Phone Number

Senior Machine Learning Engineer at Tesla
Location: San Francisco Bay Area, United States 14 work roles 2 schools
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Current company
Role
Senior Machine Learning Engineer
Location
San Francisco Bay Area, United States
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Who is Stanley Chang? Overview

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Quick answer

Stanley Chang is listed as Senior Machine Learning Engineer at Tesla, a with 76101 employees, based in San Francisco Bay Area, United States. AeroLeads shows a matched LinkedIn profile for Stanley Chang.

Stanley Chang previously worked as Senior Machine Learning Engineer at Apple and Software Development Engineer at Apple. Stanley Chang holds Master Of Engineering - Meng, Mechanical Engineering from University Of California, Berkeley.

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Tesla

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About Stanley Chang

Stanley Chang is a Senior Machine Learning Engineer at Tesla. He possess expertise in solidworks, autoinventor, flow simulation, ansys, c and 7 more skills. He is proficient in English.

Listed skills include Solidworks, Autoinventor, Flow Simulation, Ansys, and 8 others.

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Stanley Chang's current company

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Tesla
Tesla
Senior Machine Learning Engineer
California, United States
Website
Employees
76101
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14 roles

Stanley Chang work experience

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Senior Machine Learning Engineer

California, United States

Senior Machine Learning Engineer

Current

Cupertino, California, Us

Oct 2021 - Present

Software Development Engineer

Cupertino, California, Us

Jun 2019 - Nov 2021

Software Engineer, Motion Planning And Controls

Mountain View, Ca, Us

Jul 2018 - Jun 2019

Master Of Engineering Marssuit Capstone Project

Berkeley, Ca, Us

• Collaborating with Paragon Space Development Corp. and NASA astronauts, developing next generation space gear• Introducing open-loop system estimated to cut 20% of weight compared to current spacesuit• Embedding muscle sensor as well as actuator with PID control to enhance gripping force

Aug 2017 - Jun 2018

Emotion Classification With Convolutional Neural Network

Berkeley, Ca, Us

• With Input image size 68x68x3 implemented a two convolutional layers followed by two fully connected layersCNN classifying the state of emotion for 600 training samples and 150 testing samples• Used Batch Normalization and Relu Activation followed by Max Pooling within two convolutional layers• Received train and test accuracy 98.33% , 94.66% with Adam optimizer and Min-batch approach after 10 epochs

Feb 2018 - Feb 2018

Object Detection For Autonomous Driving

Berkeley, Ca, Us

• Implemented YOLO using pre-trained weight with 5 anchor boxes and 80 classes for car detection• Input image with size 609x608x3 through a CNN with output 19x19x5x85 dimensional volume• Filtered with a threshold equals 0.6 on class score and non-max suppression with IOU greater or equal to 0.5

Jan 2018 - Jan 2018

Mpc For Commercialized Aircraft Autopilot Landing

Berkeley, Ca, Us

• Implemented Model Predictive Control for Boeing 747-400 landing with reference tracking• Succeeded in optimizing fuel efficiency in landing with 120 time steps at step interval of 0.5 second• Introduced relaxation factor for terminal constraint to further ensure feasibility even with disturbance existed

Nov 2017 - Dec 2017

Finite Time Optimal Control For Autonomous Vehicle Parking

Berkeley, Ca, Us

• Implemented CFTOC for self-driving car with steer angle greater or equal to 0 as main constraint• Managed in parking the vehicle to the desired position while minimizing distance traveled• Further implemented dynamic programming to ensure the feasibility for steer angle in both direction

Oct 2017 - Oct 2017

Combat Engineer

Taoyuan, Us

• Trained as a certificated infantryman as well as combat engineer• Leading 38 comrades during the combat engineer training and won 8 times Time-Offs Awards

Sep 2016 - Jan 2017

Research And Development Intern

• Designed two kind of water cooling systems meeting customer’s criteria on both experimentation and simulation• Tested and adjusted thermal performance of heat pipe• Improved encapsulation of CCI’s latest product and saved up to 50% of the time required

Jul 2016 - Sep 2016

Computational Fluid Dynamic Projects

Hsinchu, Tw

Based on GAMBIT, Solidworks, Autoinvertor and finally, ANSYS, study different engineering problems• Project 1 focused on the temperature distribution of Dry Storage System under different gases and meshing sizes• Project 2 focused on the fluid field of Rod Bundle under different geometric conditions• Project 3 focused on the fluid filed of Rod Bundle under different computational equations• Project 4 focused on the mixing characteristics of T-junctions

Feb 2016 - Jun 2016

Programming Design Project

Hsinchu, Tw

• Used C programming writing a game based on the classic online game 'MapleStory'• Succeed in mimicking functions such as attacking, monster random movement, monster regeneration, map switching and armer upgrading

Feb 2016 - Jun 2016

Special Topic On Nano And Micro System Integration And Implementation Project

Hsinchu, Tw

Project: IFAC Based on MSP430 and accelerometers embedded on glove to detect finger gestures and respond with a corresponding comment. Also, by using both dynamic and static state to identify the input signal, successfully improved the accuracy while taking a selfie, controlling a mouse or changing TV channelsThis project eventually won us the Special Award at the iCAN 2015 contest in Anchorage, Alaska

Sep 2014 - Jun 2015
Team & coworkers

Colleagues at Tesla

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2 education records

Stanley Chang education

Master Of Engineering - Meng, Mechanical Engineering

University Of California, Berkeley

Bachelor'S Degree, Engineering And System Science

National Tsing Hua University
FAQ

Frequently asked questions about Stanley Chang

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

What company does Stanley Chang work for?

Stanley Chang works for Tesla.

What is Stanley Chang's role at Tesla?

Stanley Chang is listed as Senior Machine Learning Engineer at Tesla.

Where is Stanley Chang based?

Stanley Chang is based in San Francisco Bay Area, United States while working with Tesla.

What companies has Stanley Chang worked for?

Stanley Chang has worked for Tesla, Apple, Drive.Ai, Uc Berkeley College Of Engineering, and Roc Army.

Who are Stanley Chang's colleagues at Tesla?

Stanley Chang's colleagues at Tesla include Dries Hoeken, Deevi Harsha, Radhika Roy, 陈贵池, and Justin Mancheski.

How can I contact Stanley Chang?

You can use AeroLeads to view verified contact signals for Stanley Chang at Tesla, including work email, phone, and LinkedIn data when available.

What schools did Stanley Chang attend?

Stanley Chang holds Master Of Engineering - Meng, Mechanical Engineering from University Of California, Berkeley.

What skills is Stanley Chang known for?

Stanley Chang is listed with skills including Solidworks, Autoinventor, Flow Simulation, Ansys, C, C++, Python, and R.

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