Resume

• 2012

  Master of Science (MS)

  Computer Science

  Arizona State University

• 4.0

  Bachelor of Science

  Relevant courses taken: \n-CSE 550 Combinatorial Optimization\n-CSE 415 Combinatorics\n-CSE 494 Information Retrieval\n-CSE 471 Introduction to AI\n-CSE 494 High Performance Computing\n-STP 427 Mathematical Statistics\n-STP 421 Introduction to Probability Theory

  Computer Science

  Mathematics

  HKN Honor Society

  Astronomy Club

  National Action Council for Minorities in Engineering

  Arizona State University

• Natural Language Processing

  ElasticSearch

  Matlab

  C++

  High Performance Computing

  Biblical Studies

  R

  Java

  JavaScript

  Python

  Linux

  Spanish

  Mathematica

  Software Development

  Machine Learning

  LaTeX

  Node.js

  MySQL

  Algorithms

  UCSC at Relevance Feedback Track

  Yi Zhang

  UCSC at Relevance Feedback Track

  One-night project for visualizing some statistics on Bible Books compiled by Jadiel de Armas.

  ANDES Online Whiteboard Capstone Project

  ANDES is a multi-user

  online whiteboard for tutoring in Physics. A user is given a problem and must solve it by drawing shapes

  axis

  and using labels. An optional tutor can mark objects wrong or right (red/green) or let the automated grading system perform tutor tasks.\n\nThe capstone project was to take this single-user environment and open it up to multiple users

  whom can chat to each other and manipulate each others shapes in real-time. For this project we used the Comet paradigm to facilitate real-time communication. \n\nI was the lead programmer on client-side development (javascript and dojo.js). I also did some work on the server with Jadiel

  implementing a Cometd servlet which performed syncing and handling of pushing data to clients.

  Addison Waldow

  Mark Scheppe

  Whiteboard Capstone Project

  implementation of a multiuser online whiteboard using the Comet paradigm for the Andes Physics tutor. I worked on the server side of the project

  implementing a Cometd servlet on top of an HTTP server. (Java)

  Minh Nguyen

  Mathew Smith

  Addison Waldow

  Mark Scheppe

  Joseph Milazzo

  State Farm Distracted Driver Detection Kaggle Competition

  Competition to test whether dashboard cameras can automatically detect drivers engaging in distracted behaviors given a dataset of 2D dashboard camera images. Our team ranked in the top 2% of the teams in the competition.

  Pingo

  Pingo is a python implementation of the Ingo framework that allows the runtime creation and parallel execution of flows of computation that are represented as directed acyclic graphs. It also supports the recovery of the state and continuation of any flow of computation that has been previously interrupted.

  videoflow

  Library to help with the simple composition of pipelines to analyze video and other series based datatypes in a multiprocessing environment.

  Jadiel

  de Armas

  Arizona State University

  Arizona State University

  Limelight Networks

  Bloomberg LP

  ExxonMobil

  The Walt Disney Company

  UC Santa Cruz

  Houston

  Texas

  Internship at QVI Team

  Upstream Research Company

  ExxonMobil

  Houston

  TX. It consisted on design

  implementation

  optimization

  testing and validation of a compression and decompression algorithm for seismic data (C/C++). This was a high performance computing project.

  Intern

  ExxonMobil

  Santa Cruz

  CA

  TREC 2009 National Competition

  Relevance feedback track. Our team ranked 2nd. Our team (of two persons) used Indri (open source search engine) to build inverted indexes of a large portion of the internet. My tasks included reading of research papers in order to reproduce their experiments; and extraction of different features and measures (tf-idf

  BM25

  etc.) from the set of documents in order to use them in our ranking function.

  Undergraduate research

  UC Santa Cruz

  Tempe

  AZ

  Research project with Dr. Yi Chen (http://www.public.asu.edu/~ychen127/ ) on collaborative filtering applied to social networks to expedite problem-solving and to enhance team collaboration.

  Undergraduate Research

  Arizona State University

  Orlando

  Florida Area

  Emergent Technologies Team - I work in projects in the intersection of Deep Learning

  Machine Learning and Big Data. Currently working in the reference architecture of a Big Data platform for the company and in computer vision projects using deep learning to do image classification

  object recognition and tracking.\n

  Senior Software Engineer

  The Walt Disney Company

  New York

  Machine Learning group - Natural Language Processing project.

  Intern

  Bloomberg LP

  Arizona State University

  I am teaching an introductory course in programming using Lego Robots to freshmen students at Arizona State University.

  Graduate Teaching Associate

  Tempe

  AZ

  Implementation of system to process and store in company database

  in real time

  information from the logs of the servers of the network of the company.

  Software Development Intern

  Limelight Networks

  Tempe

  AZ

  Research project with Dr. Andrea Richa (http://www.public.asu.edu/~aricha/). The purpose is to investigate adversarial models for the physical layer of wireless communications and to explore the limits of designing probably robust MAC protocols for them.

  Undergraduate Research

  Arizona State University

  English

  Greek

  Ancient (to 1453)

  Spanish

  Silver Medal on Kaggle Competition

  Kaggle