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Grace Liu Email & Phone Number

ECE @ Carnegie Mellon University | Prev @ HPE, Tesla
Location: Pittsburgh, Pennsylvania, United States 6 work roles 3 schools
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Role
ECE @ Carnegie Mellon University | Prev @ HPE, Tesla
Location
Pittsburgh, Pennsylvania, United States

Who is Grace Liu? Overview

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Grace Liu is listed as ECE @ Carnegie Mellon University | Prev @ HPE, Tesla based in Pittsburgh, Pennsylvania, United States. AeroLeads shows a matched LinkedIn profile for Grace Liu.

Grace Liu previously worked as Machine Learning Intern at Veytel Inc. and Systems Software Engineering Intern at Hewlett Packard Enterprise. Grace Liu holds Master Of Science - Ms, Electrical And Computer Engineering from Carnegie Mellon University.

Profile bio

About Grace Liu

Hello! I am currently a master's student at Carnegie Mellon University, majoring in Electrical and Computer Engineering and eager to explore full-stack software engineering opportunities. With a passion for solving complex problems, I've gained extensive hands-on experience through internships and projects in machine learning, software engineering, and controls engineering.I'm deeply interested in working on projects that leverage data and technology to solve real-world problems. I thrive on hands-on experiences, enjoy collaborating with others, and am always excited to learn about modern technology. Outside of school, my interests include reading, photography, video editing, and traveling. Feel free to reach me at gmliu@andrew.cmu.edu!

6 roles

Grace Liu work experience

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

Machine Learning Intern

Pittsburgh, Pennsylvania, United States

Jun 2024 - Aug 2024

Systems Software Engineering Intern

San Jose, California, United States

• CLI Quality Assurance (QA): Developed extensive automated regression test scripts in Python for Front-End Protocols Team to validate command line interface (CLI) output for correctness, consistency, and accuracy.• Process Overview: Analyzed 50+ front-end CLI command output patterns to detect customer found issues in Arcus products, resulting in nightly regression testing that ensures unexpected code behavior would be detected.• Outcome and Future Application: Automated validation of array port information and virtual volume input/output histograms used by 65,000+ customers to reduce output errors through triaging debug and summary logs; collaborated with teammates and mentors to develop generic functions utilized in common internal libraries to accommodate future QA testing and development.

May 2023 - Aug 2023

Controls Engineering Intern, Material Flow

Austin, Texas, United States

• PLC Programming for Safety Enhancements: Programmed PLC ladder logic for supplementary safety configurations to address multiple station operation modes and sequential conveyance control logic.• Battery Storage Safety Validation: Spearheaded development of safety buyoff matrix for Battery PackAutomated Storage and Retrieval System; evaluated entire project scope for compliance with safety regulations; improved Human-Machine Interface screens for users that reflected changes in new process implementations.• Production Control and Analysis: Oversaw Body-in-White and Body Conveyance production and line-to-line material flow while analyzing availability and troubleshooting equipment quality metrics to produce accurate daily reports, increasing system availability trends to over 95%.

May 2022 - Aug 2022

Undergraduate Research Assistant

Pittsburgh, Pennsylvania, United States

• 3D Printing: Modified applications for reconfigurable engineered microstructures called metamaterials to demonstrate material utilization to end-users for them to customize models to fit their individual use cases.• Application Testing: Modeled performance scenarios that benefit from metamaterial’s elasticity property due to its additive manufacturing nature to showcase customizable cell arrangements of springs and dampers.• Research Publication: Coauthored Reconfigurable Elastic Metamaterials, a paper published in the Association for Computing Machinery (ACM) Digital Library and presented at the 35th Annual ACM Symposium on User Interface Software and Technology (UIST) academic conference in November 2022.

Aug 2021 - Sep 2021

Summer Intern

Columbia, South Carolina, United States

In addition to previous 2019 experience, performed wet carbon composite layups and strain gauge soldering to contribute towards projects targeting thermoplastic-epoxy composite interface development and helicopter sensor testing.

Jun 2020 - Aug 2020

Summer Research Intern

Columbia, South Carolina, United States

• PLC Design: Designed and created PLC board for 2 off-the-shelf MendelMax 3.0 3D printers to improve maintainability and functionality; installed wiring panel that allows for monitoring of computer with custom programs.• Error Diagnosis: Troubleshooted layout issues due to limited space and various printer parts by producing physical mockup to scale during online wiring schematic process; refined printers for lab-use with calibration and software.• Impact: Improved functionality, reliability, and maintainability resulted in convenient access to components and the ease of use of printers with a fixed control board.

Jun 2019 - Jul 2019
3 education records

Grace Liu education

Bachelor Of Science - Bs, Electrical And Computer Engineering

Activities and Societies: Society of Women Engineers, HCI Interactive Structures Laboratory, alpha Kappa Delta Phi Social and Greek Sing.

FAQ

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What is Grace Liu's role at their current company?

Grace Liu is listed as ECE @ Carnegie Mellon University | Prev @ HPE, Tesla.

Where is Grace Liu based?

Grace Liu is based in Pittsburgh, Pennsylvania, United States.

What companies has Grace Liu worked for?

Grace Liu has worked for Veytel Inc., Hewlett Packard Enterprise, Tesla, Human-Computer Interaction Institute - Carnegie Mellon University - School Of Computer Science, and Mcnair Center For Aerospace Innovation And Research.

How can I contact Grace Liu?

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What schools did Grace Liu attend?

Grace Liu holds Master Of Science - Ms, Electrical And Computer Engineering from Carnegie Mellon University.

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