Amanda Vu
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Amanda Vu Email & Phone Number

Senior Machine Learning Engineer at Adobe
Location: Seattle, Washington, United States 10 work roles 2 schools
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Current company
Role
Senior Machine Learning Engineer
Location
Seattle, Washington, United States
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Who is Amanda Vu? Overview

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Amanda Vu is listed as Senior Machine Learning Engineer at Adobe, a with 40967 employees, based in Seattle, Washington, United States. AeroLeads shows a matched LinkedIn profile for Amanda Vu.

Amanda Vu previously worked as Machine Learning Engineer at Adobe and Lead Machine Learning Engineer at Mitre. Amanda Vu holds Bachelor Of Science (B.S.), Bioengineering And Biomedical Engineering from University Of California, Berkeley.

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Adobe

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Profile bio

About Amanda Vu

Lead machine learning engineer with 5+ years of leadership and technical experience advancing AI research & development. My focuses in machine learning include computer vision, reinforcement learning, and autonomous systems. Currently, I act as principal investigator and technical lead for various projects at MITRE. I also serve as a mentor for MITRE's early career research program and a group leader for the summer internship program. Prior to MITRE, I attended UC Berkeley, interning at research institutions such as NASA, the UC Berkeley Artificial Intelligence Laboratory, and Lawrence Berkeley National Laboratory.

Listed skills include Java, Python, Matlab, C, and 5 others.

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Adobe
Adobe
Senior Machine Learning Engineer
Seattle, WA, US
Website
Employees
40967
AeroLeads page
10 roles

Amanda Vu work experience

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

Senior Machine Learning Engineer

Seattle, Wa, Us

Machine Learning Engineer

San Jose, Ca, Us

Lead Machine Learning Engineer

Mclean, Va, Us

Built machine learning pipelines for real-time image and video processingSpearheaded research initiatives for multi-agent teaming using reinforcement learning and imitation learning technologiesDirected cross-functional development teams in:- Training, evaluating, and testing new machine learning capabilities- Performing data collection for novel tasks (e.g., curating data as well as employing techniques like synthetic data generation)- Building infrastructure for processing pipelines- Integrating machine learning models onto edge platforms Responsible for shaping technical and strategic vision for projects, and communicating project insights with technical and non-technical audiences

Apr 2020 - Jun 2022

Senior Machine Learning Engineer

Mclean, Va, Us

Mar 2018 - Apr 2020

Associate Artificial Intelligence Staff

Mclean, Va, Us

Aug 2016 - Mar 2018

Rugs Artificial Intelligence Group

Professor Stuart Russell - Ai Research Lab

• Developed SMC particle filter for state estimation of patient pathophysiology such as hematoma, edema, etc.• Refined dynamic Bayesian network (DBN) model to handle data artifacts common in ICU setting

Aug 2015 - Jun 2016

Engineering Intern

Washington, Dc, Us

• Developed image quality assessment tool for automated analysis of astronaut retinal images (edge detection, Gaussian mixture model, and vessel segmentation algorithms)• Performed software validation of genomic analysis tools for NASA GeneLab online ohmics data repository

May 2015 - Aug 2015

Lee Bionanomaterials Research Group

Berkeley, Ca, Us

• Designed and programmed a robotic arm to perform high-throughput material biomineralization• Saved 20 man-hours and increased fabrication output by 4x with new, automated robotic arm procedure• Conducted independent experiments on the effects of the elastocapillary force, and other fabrication parameters, on biomaterial piezoresponse.

Jun 2013 - May 2015

Assistant System And Integration Test Engineer

Falls Church, Va, Us

• Supported verification of software and hardware design for an autonomous helicopter• Proofread and executed test procedures for Ground Control Segments, GPS, and Telemetry

Jan 2012 - May 2012

Student Intern

National Center For Microscopy Imaging And Research (Ncmir), Uc San Diego

• Assisted in the test and troubleshoot of computational imaging software during developmental stages• Learned 3D imaging and analysis techniques using computational software applications• Helped develop standardized identification method for astrocytes in electron micrographs

Jun 2011 - Sep 2011
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2 education records

Amanda Vu education

Bachelor Of Science (B.S.), Bioengineering And Biomedical Engineering

University Of California, Berkeley

Master Of Engineering - Meng, Computer Science

Ucla
FAQ

Frequently asked questions about Amanda Vu

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

What company does Amanda Vu work for?

Amanda Vu works for Adobe.

What is Amanda Vu's role at Adobe?

Amanda Vu is listed as Senior Machine Learning Engineer at Adobe.

Where is Amanda Vu based?

Amanda Vu is based in Seattle, Washington, United States while working with Adobe.

What companies has Amanda Vu worked for?

Amanda Vu has worked for Adobe, Mitre, Professor Stuart Russell - Ai Research Lab, Nasa - National Aeronautics And Space Administration, and Lawrence Berkeley National Laboratory.

Who are Amanda Vu's colleagues at Adobe?

Amanda Vu's colleagues at Adobe include Siya Kalra, Tumelo Tibane, Mason Mccoy, Sofea Ramli, and Anna Maria Febriana Simbolon.

How can I contact Amanda Vu?

You can use AeroLeads to view verified contact signals for Amanda Vu at Adobe, including work email, phone, and LinkedIn data when available.

What schools did Amanda Vu attend?

Amanda Vu holds Bachelor Of Science (B.S.), Bioengineering And Biomedical Engineering from University Of California, Berkeley.

What skills is Amanda Vu known for?

Amanda Vu is listed with skills including Java, Python, Matlab, C, Ni Labview, Comsol, Laboratory Skills, and Imagej.

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