ACME Student (123) 456-7890 · [email protected] · linkedin.com/in/acmestudent · github.com/acmestudent EDUCATION Brigham Young University (BYU) Provo, UT | Apr 2020 Bachelor of Science: Applied Computational Mathematics, Minor: Computer Science ▪ GPA: BYU - 3.86 | Coursework Including: Data Structures, Advanced Programming Concepts, Discrete Structure SKILLS ▪ Python, Pytorch, Unix, C++, Java, Git, SQL, Bayesian Statistics, JSON, Tensorflow, AWS, NLU / NLG / NLP, Matlab WORK EXPERIENCE Computer Science Teaching Assistant: Introduction to Deep Learning - CS 474 Provo, UT | 09/2019 - Present ▪ Help advanced CS Students gain expertise and confidence in implementing Deep Neural Algorithms ▪ Teach students how to implement CNN, RNN, U-NET, and Style-Transfer algorithms (Pytorch), among others Computer Science Research Assistant: Automated Reasoning Systems (ARS) Lab Provo, UT | 09/2019 - Present ▪ Lead a project to develop a Controller Neural Network capable of manipulating Pre-trained Neural Networks ▪ Design 2 loss functions for measuring linguistic content and grammaticality for real-time generative control (Pytorch) Data Engineering Intern: Capital One, Eno Voice Assistant McLean, VA | 06/2019 - 08/2019 ▪ Selected to work as 1 of 4 interns on Capital One’s Eno Voice Assistant out of over 500 summer interns ▪ Increased Eno’s text generation efficiency by 50% in under 10 weeks by fine-tuning NLG models (Pytorch/Tensorflow) ▪ Devised and documented new data cleaning (Unix/JSON) and model testing (Python) protocols to support NLG models Computer Science Research Assistant: Perception, Control, and Cognition (PCC) Lab Provo, UT | 05/2017 - 05/2019 ▪ Co-authored 2 academic publications and collaborated on over 3 projects with over 16 different researchers ▪ Presented BYU Alexa Prize research to industry professionals at VOICE Summit in Newark, NJ, 2018 RESEARCH PROJECTS Data Engineer: Automated Cancer Screening for Low-Income Communities (PCCL/Student) Provo, UT | 04/2018 - 04/2019 ▪ Collaborated with BYU and University of Michigan researchers to develop affordable cancer screening in India ▪ Constructed a novel dataset for pre-training medical image classification neural networks based off of MNIST (Python) Knowledge Graph Traversal & Text Generation Developer: BYU-EVE Social Bot (PCCL) Provo, UT | 02/2018 - 08/2018 ▪ Competed on a 10-member team against 7 other universities in $3.5 million Alexa Prize Challenge ▪ Created 3 text generators (Python) and formalized 3 Knowledge Graph traversal algorithms for generating content ▪ Implemented an AWS Lambda function and Data Pipeline for gathering data (SQL/JSON) from user interactions ▪ Generated daily bug-reports for the team using a custom Athena Database (AWS/SQL) and tracked the progress of fixes Algorithm Developer & Data Analyst: Analogical Reasoning via Word-Embeddings (PCCL) Provo, UT | 05/2017 - 08/2017 ▪ Developed plotting and statistical analysis software (Python) for baseline testing & visualizing 100-dimensional data ▪ Worked with 3 member team to develop over 20 different algorithms for answering analogies with word-embeddings PUBLICATIONS “BYU-EVE: Mixed Initiative Dialogue via Structured Knowledge Graph Traversal and Conversational Scaffolding.” ▪ Primary Author of Section 3.1, detailing 3 novel Knowledge Graph Traversal algorithms inspired by Breadth-First Search ▪ Published in: 1st Proceedings of the Alexa Prize (AP 2018). Aug 17, 2018. | http://bit.ly/byu_eve_2018_paper “Internal Knowledge Representations of Conversational AI” ▪ Addressed industry professionals representing Google, the U.S. Air Force, and Capital One, among other entities ▪ Presented at: VOICE Summit 2018. | http://bit.ly/byu_voice_2018_nj “Harvesting Common-sense Navigational Knowledge for Robotics from Uncurated Text Corpora.” ▪ Published in: Conference on Robot Learning. Oct 18, 2017. | http://bit.ly/corl_2017_paper .