• Supporting MathWorks’ largest aerospace and defense customers ($50M+) with solving challenging engineering problems via on-site and remote meetings, presentations, and technical proofs (NDAs)
  • Projects include developing machine learning algorithms to detect faulty and/or anomalous hardware behavior
• Creating and managing internal tools and processes to ensure faster, data-driven business decisions and actions by:
  • giving Development/Marketing/Sales direct access to field data
  • optimizing worldwide resource allocation and utilization
  • automating repetitive-yet-necessary daily field/customer tasks
• Leading the Los Angeles office’s Technical and Sales resources via weekly scrums and check-ins
• Mentoring new staff with technical ramp-up and growth, critical business issue identification, and presentation skills
• Keynote speaker (video) at MATLAB EXPO 2018 – San Jose, CA

• Pre-sales and post-sales support for aerospace, oil & gas, and energy production customers to help solve challenging engineering problems
  • Projects include capturing and processing live data from multiple sensors and system health/status monitoring
• Technical focus:
  • Automating data analysis, hardware control, and reporting
  • Optimizing, parallelizing, and scaling up algorithms
  • Machine learning and analytics for fault detection
  • Application building for streamlined user interactions

• Investigated, identified, and solved challenging technical engineering problems for MathWorks’ broad customer base
• Collaborated with Development to prioritize solutions in the product to address customer needs
• Mentored new hires and became the go-to resource for new hire training and ramp-up processes
• Took initiative to rearchitect and upgrade an out-of-date internal training tool to better automate new hire training

• Developed a mass-, momentum-, and energy-conserving numerical method to solve the Navier-Stokes equation
  • Developed over 22,000 lines of parallel Fortran 90 code
  • Simulated on a super computing cluster for weeks
• Teaching assistant and led recitations for:
  • Numerical Methods and Potential Flow courses
  • introductory programming techniques in MATLAB

• Designed and built:
  • high temperature, opposed-jet fuel burners
  • a high temperature inert fuel reactor
  • a Linux-based Torque+Maui computational cluster
• Experimentally:
  • measured flame speeds using digital particle image velocimetry (DPIV) techniques 
  • combustion reaction rates via fuel pyrolysis
• Simulated flame speeds for experimental comparison

• Awarded Dean’s Fellowship

• Graduated Cum Laude at the University of Southern California
• Awarded Teaching Assistantship for 2 years in a row

My passion for tinkering and my love of Doctor Who led me to working on this fun passion project: A Sound-Activated TARDIS Lamp!

I accomplished one of my childhood bucket list goals in 2017 when my TARDIS project was featured on Hackaday.com:
https://hackaday.com/2017/09/23/building-this-tardis-is-anything-but-a-snap/

The lamp is triggered by sound (snapping fingers, clap, etc.) to pulse LEDs and play audio that replicates the TARDIS’ behavior from the show Doctor Who. It was designed to have a clean aesthetic without protruding wires and with removable circuitry to make it easy and convenient to recharge the rechargeable LiPo battery.

Detailed Project Information:
https://hackaday.io/project/26964-sound-activated-tardis/details

I designed and built the “Ugly Data App” in MATLAB:
https://www.mathworks.com/matlabcentral/fileexchange/65343-ugly-data-app

The Ugly Data App allows you to easily work with messy/noisy data and use statistical techniques to:

• standardize missing values
• detect and replace outliers
• smooth noisy data
• export cleaned data to MATLAB or to a file
• generate MATLAB code to automate future data cleaning

The app has 2,000+ downloads and was chosen as a MATLAB Central Pick of the Week:
https://blogs.mathworks.com/pick/2018/01/19/ugly-data-app/

Frustrated with Windows’ default cascading behavior when new windows are opened, I took it as an opportunity to learn Javascript and build a Promise-based Chrome extension to resolve the problem permanently.

New Window to the Right:
https://chrome.google.com/webstore/detail/new-window-to-the-right/chkpiahcifbmdhlnfjilnbljgijbhngg

The extension places new windows directly to the right of the window you had last focused on and will wrap window placement if any part of the window ends up off screen.

The project was an exploration in:

• learning Javascript to accomplish a task that affected my day-to-day life
• processing asynchronous tasks in the order they are received using a queue-based task management process
• earning the Promise-based architecture that is becoming popular

The MATLAB Time Pebble watch face was a passion project that came together because of the combination of my:

• excitement at getting a new toy (smart watch)
• desire to customize exactly how the watch face looked
• curiosity and passion to learn something new (programming for an embedded device)
• passion for MathWorks and MATLAB

If we were looking at this from a business perspective, this product was geared towards a very, very small market of people that:

• owned a Pebble Time
• wanted to display the same information on screen that I did
• hard heard of, used, and/or liked MathWorks or MATLAB

It’s probably not going to have a large scale impact, but that’s why it simply passion project. It’s related to something that I love, that I could use as a vehicle to learn a new skill set, and it’s something that would have a tangible impact on my everyday life.

It’s been over 3 years and I’m still happily wearing this watch face.