I'm a software engineer primarily interested in programming. C++ and C# are my most used languages. My fields of interest include computer graphics, mobile app development, computational biology, biomedical visualization, biomedical engineering, and machine learning.
For my master's thesis I explored something new and at the time, out of my comfort zone! Check it out: Prediction of Treatment Target for Ventricular Tachycardia using Multi-Task Machine Learning
Developed front end and back end using C# WPF in an application
to be used for clinical trial, using the MVVM architecture.
Performed static analysis and unit testing using SciTools
Understand and Tessy 4.0 on a native C code base.
Prepared documents required for 510(k) submissions to the FDA
using company guidelines.
Followed agile development using Polarion.
Developed software for the SIGMA Spectrum Infusion Pump.
Debugged and develop WiFi protocols (TCP/UDP) for Pump
interaction.
Created GUI for pump interface using C# WPF and LINQ.
Automated software test procedures using C# for Master Drug
Library Editor (MDL).
Followed agile development using JIRA.
Contributor to the publication that stemmed from this research
project: "Dynamic Functional Assessment of Hand Motion Using an
Animation Glove: The Effect of Stenosing Tenosynovitis." Oct
2017.
Helped run the CyberGlove II for capturing joint velocities and
range of motion of hands, to treat carpal tunnel syndrome and
trigger finger, using Qt.
Wrote scripts as required to run and record the CyberGlove MoCap
software.
Interacted with the doctors from University of Rochester and
CyberGlove to decide requirements and feasibility. (Qt, C++,
Python)
Attempt to integrate Faceshift Studio (now discontinued) and The
Eye Tribe to create real time mapping of facial features and eye
gaze using virtual world clients. Setting up OpenSimulator and
Firestorm.
Worked with a modeler (Dr. Marla Schweppe) to identify and get
the correct blendshapes for importing into Unity 3D.
A part of this project was used at the Rochester Street Light
Festival. An actor sat in front of a sensor, whose facial
features controlled a custom model projected on the face of a
building. (Video or pictures available upon request)
Application and analysis of existing machine learning techniques
to predict the ablation site for treatment of ventricular
tachycardia.
Application of algorithms like lasso, ridge regression,
multi-task learning.
Pre-processing and analysis of ECG waveforms (detrending,
denoising, constant offset, etc)
Master's thesis topic. (MATLAB, Python)
Specialized in the graphics cluster and pursued a thesis in
machine learning. Held multiple research assistantships and
collaborated on many side projects.
Covered basics of programming, database systems, digital signals and image procesing, computer architecture, and computer networks. Participated in the annual robotics festival as a volunteer and event head.