1st Place Capstone Team: Kyle King, Dakota Katz, Patricia Barton, Kenny Ke, and Divya Jain

Kyle King

I am a Software Engineer at Meso Scale Diagnostics where I apply my Python, Engineering, and leadership experience.

Previously an Undergraduate Research Fellow at the Maryland MEMS and Microfluidics Lab, a Research and Development Intern at Canon US Life Sciences, and a Full Stack Developer and Team Liaison for Team B.I.K.E.S.

I am always interested in expanding my skills and network. Please feel free to connect with me on email, connect on LinkedIn, follow me on Github, or view my resume.


Meso Scale Diagnostics

Software Engineer II, Instrument R&D (2020 - Present)

Meso Scale Diagnostics

Systems Engineer I (2016 - 2020)

UMD MEMs and Microfluidics Lab

Undergraduate Research Fellow (2013 - 2016)

Canon US Life Sciences

Research and Development Intern (2015)


Student Fellow (2011 - 2014)

DasSarma Laboratory

Student Researcher (2013)



Raspberry Pi Alarm Clock (~2017)

Gemstone Team B.I.K.E.S.

Stationless Bikeshare Team Research Project (2012-2016)

Senior Capstone

Pediatric MRI Distraction Device (2015-2016)


Raspberry Pi PhotoFrame (2016)

3D Printing

Rapid prototyping side-projects


4K for Cancer

Team Mechanic (2013-2014)

Eagle Scout

Boy Scout Troop 792, Baltimore, MD (2005-2012)

Maryland Zoo in Baltimore

Junior Keeper (2008 - 2011)

Meso Scale Diagnostics


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As a Systems Engineer I at MesoScale Diagnostics, I have worked on every part of an instrument's life cycle. From prototype systems under development to implementing improvements to instruments in the field.


  • Led engineering development of a Python software for instrument assembly and repair from initial design and requirements specification to verification and release. Iterated over user feedback and released on schedule.
  • Implemented a Python tool to automate customer upgrades for major changes in new company software.
  • Prepared and merged over a hundred code reviews with approval by senior engineers.
  • Built, improved, and maintained internal dashboards to visualize incoming parts inspection data and to calculate downtime and performance characteristics of automated systems.
  • Analyzed CCD camera images to prototype a numeric model that corrected for camera ghosting.
  • Investigated instrument alignment errors then designed and released a software tool to apply the correction.
  • Integrated a REST API into legacy software and found solutions to support offline use cases.
  • Developed control code and fabricated prototype components for robotic sample preparation and pipetting systems.
  • Designed a modular Python packaging ecosystem to meet automated motion control and analysis needs.