Experience
Eighth Army, U.S. Army, Cryptologic
Linguist / Intelligence Analyst KATUSA
October 2021 - Present
- Serving 18 months of mandatory military service as a Korean Augmentation to the United States Army
(KATUSA) in 532nd Military Intelligence
Battalion, 501st MI Brigade
- Revamped data pre-processing tasks for CCPT and UFS combined exercise by introducing key-pair
automation matching system which reduced workload in time by ~30% and achieved less than 1% failure
rate
- Translated, interpreted, and analyzed secret-classified intelligence for multiple exercises and
missions
Amazon, Software Development Engineering
Intern
June 2021 - August 2021
- Proposed, implemented and documented machine learning life cycle to create and maintain Alexa Speech
Recognition (ASR) Threshold Algorithm handing all customer confirmation actions within Alexa Notes
- Engineered ASR Threshold Confirmation logic into existing Alexa Notes’ codebase using AWS and
Spring; ensured minimal errors by achieving 99% code coverage through test driven development in
Mockito
- Integrated sound UX for Sticky & Surprise Notes for Echo Devices using Alexa Presentation Language
City of Haverhill (Partnered with BU Spark!),
Software Engineer
September 2020 - December 2020
- Created an open source software that automatically retrieves data from QAlert and copies data into a
GIS enabled PostgreSQL instance, allowing rapid visual analysis to spot trends or concerns for
Haverhill
- Designed and implemented dataflow of the application by utilizing AWS Lambda, RDS, VPC, and SAM
- Proposed a cost-effective serverless solution, resulting in 0.001% usage of budget per month
Omnious.ai, Data Engineering Intern
June 2020 - August 2020
- Leveraged word embedding to build a fashion tag similarity NLP model that clusters Korean keywords
through modified K-means clustering
- Conducted research on Korean word segmentation techniques to increase overall accuracy of NLP model
- Developed ETL data pipelines using Scrapy to concurrently crawl and process over 10,000 requests
hourly
- Managed automation process of data processing by utilizing AWS ECR, Docker, and Rancher
Boston University, Course Assistant
January 2020 - Current
- Conducted weekly office hours and labs to assist ~20 students to learn computational problem-solving
skills and fundamentals of programming in Python
BostonHacks, Software Developer / Organizer
March 2019 - Current
- Building an open-source registration portal, Cacioepepe, using VueJS, NodeJS, and Google Firebase
- Architected and planned Cacioepepe’s Firebase Database schemas for applications and types of users
- Saved ~97% of manual download time by implementing a firebase function where sponsors can download
all or selected resumes of hackers as a ZIP file
PT Mass Rapid Transit Jakarta, Software
Engineering Intern
June 2019 - August 2019
- Designed RESTful API controllers and validators for Knowledge Management System (KMS), an internal
tool dedicated to storing and accessing knowledge, increasing efficiency in employee’s workflow
- Integrated back-end of CRUD file system with taxonomy structure, streamlining data management
- Reduced file upload size by 23% through modifying uploading process of KMS from base64-encoding to
direct file upload
Projects
MiliDoc | Ministry of Defense Open Source Data Competition Finalist
August 2022
- Created a web app that analyzes text and provides recommendations to fix wordings on potential military-related legal issues.
- Utilized Next.js, Flask, Firebase and Google Cloud Platform to develop and deploy the application.""
Celebface
April 2020 - May 2020
- Launched a web app that takes a user’s face and finds out, using Google’s Teachable Machine, which
Korean entertainment company the user should belong in by analyzing the provided image
- Attained a total of ~80,000 page views and over 900,000 advertisement requests within two months
SpareChange, PennApps XX | Capital One Best Financial Hack Winner
September 2019
- Created a mobile application that accumulates leftover money from every purchase made and uses accu-
mulated money to donate to charities and non-profits using Google Firebase and NodeJS
Down to Dine, HackNYU 2019 | Finance Empowerment Track Winner
February 2019
- Led a team of 3 to develop and deploy a web application on Amazon Web Services and Flask which helps
users reduce spending by providing budget-considerate restaurant recommendations
- Visualized location of restaurants using Google Maps & Geocode API to improve user’s convenience
Education
Boston University
Bachelor of Arts in Computer Science | GPA: 3.90/4.00
- Awards & Honors: Trustee Scholar: Full Tuition Merit Scholarship, Dean's List (All semesters)
- Relevant Coursework: Artificial Intelligence, Algorithms, Computing Systems, Data Structures,
Fairness in AI,
Functional Programming, Machine Learning in Business, Probability, Software Engineering
Resume: PDF
Github: @jinyoungbang
LinkedIn: @jinyoungbang