Hello! my name is Sung Hyun Back, but I prefer to be called Daniel. I am currently a Senior at Carnegie Mellon University majoring in Electrical and Computer Engineering, and minoring in business. I am currently looking for a software engineering / trading internship for the summer of 2020.
What makes me unique is my communication skills; I have lived in many countries such as Korea, the Philippines, New Zealand, and the United States, and this experience granted me an opportunity to interact with various people. Such experience helped me communicate efficiently with every kind of people and enhanced my networking skills.
Places where I have worked.
I developed an internal dashboard called Polaris Custodian that provides detailed information of the deployed jobs and allows users to stop, start, power up and down jobs using Go and Vue.js. In addition, I automated the rescaling of the jobs and its Docker images based on its task-count, memory, and CPU comsumption which optimized the cost and usage of EC2 instances by over 60% during nighttime. Furthermore I incorporated Goroutines and Channels for concurrent calls to the API. For testing, I implemented CICD and unit testing using mock calls.
I Worked for Human Computer Interaction Institute under Dr.Bruce McLaren to re-design and re-implement online math learning activities for middle school students using jQuery, the Bootstrap framework, and Cognitive Tutor Authoring Tools (CTAT). In addition, I resolved the existing communication issue between Javascript and CTAT by implementing queues.
I utilized Python, Matlab, and Excel to conduct multiple test, process data, and analyze results for research of Electrodynamic Screening (EDS), a cleaning method of solar panels/mirrors. In addition, I conserved 83% energy consumption by optimizing operation time, frequency, and power supply for EDS.
Projects that I have built.
We created a mobile app which placed top 10 at Carbon Hacks that can recognize an object real time and give alternative options and its price from Amazon using swift and Python. for image recognition, we fine-tuned preexisting ML model RESNET 50 to detect and identify a wider range of objects. For providing alternative options, we scraped Amazon using each products individual ASIN number and we can filter these options by price and rating.
We created a web app for Hack CMU that displays recent crime locations to provide students with the most awareness during their walks around CMU. This app offers an interactive, real time heat map with filters to specify locations, types of crime and time of the day. I focused on scraping the Pittsburgh Police crime reports, parsing data, and implementing the heat map with various filters using Google Map API.
This is a personal project that was inspired by the movie 21, which lead to my love for the game blackjack. This project calculates the probability of beating the dealer in blackjack and presents the most optimal strategy for the user. I implemented algorithms and ran simulations using Python to determine the relationship between the true count of the deck and the users' probability of winning each round.
We Evaluated each NBA player’s performance by calculating the team’s score differential while the player is on the court. I Analyzed and parsed official NBA play-by-play data to keep track of plays, scores, and substitution using Python.
