UC Berkeley: Electrical Engineering and Computer Science (EECS), Graduation: Spring 2017
UCLA: Masters in Computer Science, Expected Graduation: Spring 2019
Undergraduate Research Assistant, UC Berkeley
Fall 2015 - Spring 2017
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Project led by Professor Michel Maharbiz.
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Project goal was to develop a biosensor using chemotactic E. coli as the sensing agent.
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Laid out multiple PCB designs to support the building of a biosensor that uses chemotactic E. coli as a
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sensing element
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Prepared E. coli cells for experimentation: growing, washing, and shearing cell flagella to allow rotation
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Performed microscopy to produce experiment videos of rotating cells
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Implemented scripts using image processing and machine learning on experimental videos to determine
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rotational bias of E. coli
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My team presented a poster at the Engineering Approaches to Biomolecular Motors: From in vitro to in vivo Conference in Vancouver, Canada and we won an award!
Engineering Intern: Qualcomm QCSS, San Diego
June 2017 - Present
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Working on the Physical Threat Assessment Team
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Testing and analyzing hardware to ensure that it is not vulnerable to hardware hacks such as glitching a
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device’s clock or voltage supply.
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Developing python and C code to automate the testing process
Software Engineer Intern: Qualcomm R&D, San Diego
June 2016 - August 2016
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Worked on a project to increase wireless internet coverage around the globe via satellites
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Developed tool in python to improve efficiency of verifying and configuring satellite Gateway parameters
Software Engineer Intern: General Atomics Aeronautical Systems, San Diego
June 2015 - August 2015
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Performed the following tasks for multiple airframes (Predator A, Predator B, Predator C, Warrior):
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Developed and refactored python regression scripts to verify the following UAV modules: power system, fuel system, datalinks, flight control servos, UAV Asynchronous RS422 Redundant Bus
Software Engineer Intern: Dart Neuroscience LLC., San Diego
June 2013 - August 2014
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Implemented Medicinal Chemistry tool for VIDA: Openeye Scientific Software to allow chemists to use 3D visualization techniques for drug discovery, in python
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Tool features included: molecular overlays, orienting proteins and ligands to minimum energy configuration, searching for a ligand in protein molecule, generating surfaces on molecules, and toggling between 2D and 3D display options.
Intern at San Diego Supercomputer Center, UC San Diego
June 2012 - August 2012
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Developed a tutorial modeling the effects of Multiple Sclerosis using NEURON simulation software for neuroscience research, for UCSD Neuroscience Gateway Portal.
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Link to my work can be found here.
RESUME
Research
Experience
Work
Expereince
Programming Languages
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Strong:
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Python
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Java
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C
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Proficient:
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MIPS assembly language
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Swift
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Tools
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MATLAB
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Apache Spark
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Energia Software
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LaTex
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QT
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Logisim
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Jenkins
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Git
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LabVIEW
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iOS development
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Operating systems:
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Windows
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Linux
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