Hi, I’m Richard Kim, a business engineer and aspiring data scientist with hands-on experience in AI model development and web application programming. I’ve built and trained AI models, including a diabetes risk prediction model with 80% accuracy, and developed full-stack applications using Python, JavaScript, React, Node.js, Django, and PostgreSQL. In my previous roles at Kinetech Cloud, I automated workflows, corrected over 100,000 data inconsistencies, and optimized internal processes, improving efficiency by up to 95%. I combine strong programming skills with attention to detail, a deep understanding of algorithms and data structures, and a proven ability to debug and enhance complex systems, making me well-suited to evaluate AI chatbots, solve coding challenges, and ensure high-quality outputs.

Richard Kim

Hi, I’m Richard Kim, a business engineer and aspiring data scientist with hands-on experience in AI model development and web application programming. I’ve built and trained AI models, including a diabetes risk prediction model with 80% accuracy, and developed full-stack applications using Python, JavaScript, React, Node.js, Django, and PostgreSQL. In my previous roles at Kinetech Cloud, I automated workflows, corrected over 100,000 data inconsistencies, and optimized internal processes, improving efficiency by up to 95%. I combine strong programming skills with attention to detail, a deep understanding of algorithms and data structures, and a proven ability to debug and enhance complex systems, making me well-suited to evaluate AI chatbots, solve coding challenges, and ensure high-quality outputs.

Available to hire

Hi, I’m Richard Kim, a business engineer and aspiring data scientist with hands-on experience in AI model development and web application programming. I’ve built and trained AI models, including a diabetes risk prediction model with 80% accuracy, and developed full-stack applications using Python, JavaScript, React, Node.js, Django, and PostgreSQL. In my previous roles at Kinetech Cloud, I automated workflows, corrected over 100,000 data inconsistencies, and optimized internal processes, improving efficiency by up to 95%. I combine strong programming skills with attention to detail, a deep understanding of algorithms and data structures, and a proven ability to debug and enhance complex systems, making me well-suited to evaluate AI chatbots, solve coding challenges, and ensure high-quality outputs.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert

Language

Javanese
Intermediate

Work Experience

Business Engineer at Kinetech Cloud
October 1, 2024 - October 1, 2025
Developed a social service application for a nonprofit, streamlining 3,000+ applicant submissions. Automated case management, form building, and report generation, reducing processing time by 95%. Built volunteer hour tracking, reporting, and notification system to improve data tracking efficiency. Used internal monitoring tools to manage multiple applications and deploy rapid bug fixes. Refactored backend code and updated production databases, correcting over 100,000 data inconsistencies to improve reporting accuracy and application processing.
Business Engineer Intern at Kinetech Cloud
May 1, 2023 - August 1, 2023
Built an application to automate multi-step internal operations, minimizing manual interaction and improving workflow efficiency. Led application conceptualization, prototyping, development, and maintenance in an Agile environment. Conducted automated and manual regression, integration, and end-to-end testing.
Project Lead at Hooslist Scheduling Web Application
August 1, 2022 - December 1, 2022
Created a Django-based course scheduling tool to assist UVA students with planning course loads and coordinating schedules using Python, HTML, CSS, PostgreSQL, and Heroku. Implemented IDOR prevention, Google SSO authentication, and Access Control security measures. Led team-wide testing and facilitated integration testing with white-box plans. Built and maintained PostgreSQL-backed HTML GUI, CI/CD pipelines, and achieved high test coverage.
Diabetes Classification AI Model at Self-Directed Project
January 1, 2024 - May 1, 2024
Developed and trained multiple AI models to predict diabetes risk based on common health metrics. Implemented and compared linear and nonlinear regression, Naive Bayes, logistic regression, and neural networks. Achieved a predictive accuracy of 80%.
Project - E-Commerce Web Application at Forge
June 1, 2023 - June 1, 2023
Built an e-commerce site with user-defined catalogs using React and Node.js. Integrated Firebase and AWS for secure user authentication and real-time data management. Leveraged multiple REST APIs to handle secure online transactions.

Education

Master of Science in Data Science at University of Virginia
January 1, 2026 - August 1, 2027
Bachelor of Science in Computer Science at University of Virginia
August 1, 2020 - May 1, 2024

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Education, Non-Profit Organization, Professional Services, Media & Entertainment