· Automated payment for hundreds of thousands of employees’ wages within 4 weeks of joining the team by reprogramming core employee wage business logic.· Designed, consolidated feedback for and executed an AWS-based microservice that vends payment policies based on employee metadata, and supports up to 2,000 TPS for several payment services.· Assumed maintenance for AWS event-based user action data pipeline for internal education service that supports up to 2,000 TPS at peak

· Implemented display commands for Snowflake data warehouse exchange that administrators and users could leverage to maintain hundreds of Alpha users’ data.· Designed and implemented AWS Lambda daily cron job that compiled user provided sample SQL scripts to check for compilation and expected output errors for hundreds of Alpha users.· Took initiative to refactor unit testing code and removed hundreds of lines of duplicated mock data and hardcoded strings.

I taught English and Computer Science to youth in South Korea while also learning how to speak Korean.

• Generate synthetic images to improve OCR bounding box detection• Create pipeline that trains Tensor Flow convolutional neural networkto predict more than 10 different labels for images• Test and improve bounding box detection model to accurately predicton credit cards

• Working as a research assistant for the Clinical Machine Learning group led by Professor David Sontag.• Research project involves building a scalable and flexible patient-level disease-onset-prediction model using Python scikit-learn, OHDSI R library packages and other customized deep learning algorithms.• Recipient of a Dean's Undergraduate Research Fund Grant Fall 2015 for the proposal of my research project.• Will present my project in the New York University DURF Research Conference in April 2016

http://www.makerthonofkindness.org/• I was the main organizer for the Random Makerthon of Kindness, an event that taught 90 students how to build technology and coding projects that they are passionate about

• Learn and develop Android apps from scratch with team members in 2 months through Google's resources: Udacity, software engineers, mentors.• Reinforce and solidify essential software engineering principles, algorithms and data structures in java through weekly practice and mentoring.

• I spend 7 hours a week devoting my time to tutoring college students on the various topics covered in the Data Structures course offered at NYU.• Lead group discussions on how to design and implement data structures into large classroom programming projects

• Assist in providing computer support (hardware, software and peripherals) to the Stern School of • • Business faculty, students and staff. • Install, upgrade, troubleshoot and provide routine maintenance for computers, software, printers, and peripherals. • Assist and instruct faculty, staff and student in the use of technology and computer equipment.

• Strategic and user-focused implementation of late software development techniques such as frontend and backend compatibility analysis, debugging, comprehending software code system in Objective-C and Java, and refining of code.

• This includes fostering a fun and safe environment while helping students learn new technology and think creatively. • In addition to creating an engaging learning environment, instructors are in charge of continuously supervising students, leading games and activities, and maintaining a safe atmosphere while on duty.• Prepare lesson plans, and teach a class with up to 8 students