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Resume

Education


University of Massachusetts Amherst

Master of Science in Computer Science
GPA: 4.0
May 2019 - December 2020

University of Massachusetts Amherst

Bachelor of Science in Computer Science and Mathematics
Commonwealth Honors College Departmental Honors
September 2015 - May 2019

WORK EXPERIENCE

Mobile Application Developer

University of Massachusetts Amherst

January 2018 - Present
  • Developing features for the Campus Access mobile app using React Native, ArcGIS and crowd-sourced data.
  • Engaging in rapid weekly development cycles and continuous delivery to internal testers to ensure accessibility.
  • Leading 2 junior developers in becoming familiar with the technical stack that the team operates in.

Research Assistant

Biologically Inspired Neural and Dynamical Systems Lab

October 2017 - Present
  • Implementing neural networks for image regression of etched silicon wafers with LAM Research Corporation.
  • Developing pipelines for data preprocessing and cleansing to use in training deep learning models.

Research Assistant

Resource Bounded Reasoning Lab

September 2018 - May 2019
  • Designed offline planning models for semi-autonomous systems to govern micro-level transfer-of-control actions.
  • Integrated solved models to navigating robots in the Semi-Autonomous Vehicle driving problem domain.

Software Engineer Intern

Raytheon

May 2018 - August 2018
  • Developed client-side features for a NextGen Weather Processor display system within the chrome browser.
  • Expanded Java server functionality through JavaBean endpoints with a focus on test-driven development.
  • Ported C code in an Integrated Terminal Weather System from SunOS to Red Hat Linux.

Projects


Poker Brain


An intelligent poker bot trained with Reinforcement Learning algorithms used to optimize earnings in simulations of Poker.

Languages/Libraries:


Python, Numpy

CLL Leukemia Regression


A machine learning model is learned to predict the best treatment for patients with Chronic Lymphocytic Leukemia.

Languages/Libraries:


Python, Keras, Numpy

Silicon Wafer Etch Regression


A machine learning model is learned to predict the outcome of a silicon wafer etch.

Languages/Libraries:


Python, Keras, Numpy, Pandas

Genetic SGD Optimization


A hybrid neural network training algorithm using that pairs genetic algorithms with stochastic gradient descent.

Languages/Libraries:


Python, scikit-learn, Numpy, Pandas

UMass Access


An android mobile application that utilizes crowd-sourced geolocation data to visualize obstructions on campus.

Languages/Libraries:


Java, Django, MySQL, Android Studio, AWS

Decibell Dorm


A smart dorm security device that alerts users with a description of the guest at the door.

Languages/Libraries:


Java, Python, C, Clarifai API