1. aml178@pitt.edu
www.github.com/annelatsko
(216) 773-2138
EDUCATION _____________
University of Pittsburgh, Pittsburgh, PA Expected Date of Graduation: April 2017
BS/MS Dual Degree in Computer Science Credits as of December 2016: 105
GPA: 3.651
 Algorithm Design and Implementation
 Introduction to Systems Software and Assembly
 Programming Mobile Robotic Systems
 Formal Methods in CS
 Operating Systems
 Applied Regressions
WORK EXPERIENCE____________________________________________________________________________________________
IBM Watson, Pittsburgh, PA Retrieve and Rank Intern (Information Retrieval) May 2016 – August 2016
o Watson Search Dashboard – AngularJS
 Created a searchable page to list all Apache Solr clusters by client
 Pulled connector information from Apache ZooKeeper to display collection information dynamically
o Watson Search Service – Java
 Developed a duplicable framework to help reduce larger Maven modules into smaller ones to make them easier to
test; involved pushing a Docker image and deploying it to Marathon
APPS AND PROJECTS_____________________________________________________________________________ ______________
o RPG Dice Roller - Pebble
 C – CloudPebble.net; 700+ installations as of 09/21/2015
 Allows you to roll up to 12 dice at once and displays the total, along with the number of each individual dice. Dice
supported: d4, d6, d8, d10, d12, and d20.
o Imposter-me.herokuapp.com – Ruby on Rails
 Won Most Creative at the 2016 SheInnovates Hackathon – created a web app with a message board and resource
page to help people discuss their experiences with imposter syndrome
 Personal Contribution: wrote all of the backend
o Dynamic Image Watchface – Pebble
 C – CloudPebble.net
 Contains 12 pictures which change on the hour
o Calculator – Android
 Java and XML – Android Studio
 Adds, subtracts, multiplies, divides, clears, and deletes individual numbers. Sends result of calculation to a new
activity.
o Adaptive Semantics Simulator – Java
 Won 2nd
place at the 2015 Youngstown State University Hackathon
 Personal Contribution: wrote the splicer that separated the formatted text and identified words as simplifiable or
not, putting the alternate options into a dictionary for each simplifiable word.
o Machine Learning - Python
 Analyzed the Enron data set to identify persons of interest in the trial
o Python Class Projects:
 Asteroids, Blackjack, and Pong: using the Codeskulptor GUI
 Snake: used the ROSPY package to program 3 robots to connect like the game Snake and then follow each other
based on color.
LANGUAGE AND TOOLS SUMMARY ______________
 Competent in Python, including ROSPY and data
science packages.
 Some knowledge of Ruby on Rails
 Some knowledge of Karyon, Docker, Mesos,
Marathon, Apache Solr, Apache ZooKeeper, and
Eureka, and how they interact with one another
 Some knowledge of JavaScript, AngularJS, and JSON
 Competent with Git/GitHub and GitHub Enterprise
 Competent in Java
 Competent in C
 Some knowledge HTML/CSS and XML
 Experienced with Linux, specifically Ubuntu
OUT OF THE CLASSROOM
 City Year Detroit 2014: 1,750 service hours of tutoring eight graders in math and English
Anne Latsko

2.  University of Pittsburgh Varsity Marching Band: 3 football seasons on tuba; 1 year Squad Leader; about 25 hours per week