- Used Ruby on Rails background job worker and WebSocket channels to enable real-time communication and handle asynchronous tasks, further enhancing the app's performance and user experience.- Spearheaded the backend development of an English Learning app, integrating cutting-edge technologies such as LLama, a customized deep learning model, and the Chat GPT API for advanced sentence analysis.- Designed a novel feature enabling real-time audio calls with random users to facilitate English conversation practice.- Developed various APIs for the app's diverse features, employing Ruby on Rails for the main application and Python with FastAPI for microservices.- Implemented a Kubernetes and Google Cloud-based architecture for an internal AI server, enhancing the system's scalability and reliability.- Utilized AWS services such as Lambda and S3, optimizing application performance and data storage solutions.- Integrated multiple text-to-speech (TTS), speech-to-text (STT), and translation APIs to support comprehensive language learning functionalities.- Employed Redis for caching frequently used data and managing pub/sub models within the API and services, significantly improving response times and resource efficiency.- Orchestrated background jobs in Ruby on Rails for asynchronous task processing, ensuring a seamless user experience.

- Developing sound inferencing API server with Golang- Integrating inferencing API server with other 3rd party software- Working closely with ai researchers and implementing them on the APIUsed Tech stack: Golang, AWS, Python, C++, Github, Docker, Kubernetes, TensorFlow, TensorFlow Lite

Key Responsibilities:- Leadership: Led an engineering team of 6 as the Project Leader, expanding to a team size of 15, adopting Agile project management methodologies.- Design and Development: Made high-level design decisions and contributed as a Fullstack Developer.- DevOps Collaboration: Worked in close coordination with the DevOps team.- Project Management: Functioned as a Scrum Master, facilitating agile processes and ensuring team efficiency.- Worked with various companies: Hanhwa tech, GS energy, GS charge, etc.Key Projects:1. Smart AI CCTV System:- Developed a real-time system for visitor activity tracking in buildings using AI cameras.- Implemented visitor fingerprinting technology without requiring facial or detailed personal information.- Enabled location-based customization through an admin web page.- Integrated alert system for managers in the app, focusing on visitor loitering and assistance needs.- Designed and provided a dashboard UI on the web.2. Digital Transformation Project:- Led the design of a mobile app using Flutter and a server backend with Flask.- Targeted primarily energy and factory sectors for digital system adoption.- Facilitated the transition from paper-based to digital systems for companies.3. English Education Software API Development:- Charge of the backend and infrastructure design and development- Utilized various APIs related to NLP and multiple LLM versions to analyze user sentences.- Actively employed Ruby on Rails, background job frameworks, and AWS Lambda.- Dualized on premise ai server into Google Cloud, which mainly utilizes Kubernetes and GPU VM instances.- Conducted rapid development within a short timeframe, and it is currently being actively used in language education

Freelancer Platform that matches clients and professionals and leads them to complete their projects.The platform has the following features:1. Client Request for Project Inspection2. Trello like a task Management system(real-time update)3. Project Management system4. Payment arrangement system5. Professional Management system6. Client Request Management system7. API Highly integrated with SlackI worked as a Fullstack developer (Backend 80%, Frontend 20%) Django, AWS, ReactJs, Redis, Docker, Circleci, slack API integration

Company based in Korea, US and Netherland selling mobile body composition measuring device and services(two B2C services, two B2B services)Backend: Designed and developed multiple api and web for application using Spring Boot, Nodejs(Express), Python, Ruby on RailsFrontend: Vuejs, javascript, Electron and IOSServer deployment: Mainly at Centos(linux) server and AWSDatabase: Mysql, Postgresql, MongoDbOther: JUnit, Mockito, Swagger, DockerMost developed programs had to be well documented.

Developed multiple programs to generate articles based on stocks prediction data and phrases that has been used.Developed newsletter generator based on data about stocks prediction.Used: Mainly Java and java swing, python to gather data, sqlite, google spreadsheet api

- Developing and maintaining CMS system mainly with Ruby on Rails- Teaching about network / web security / UNIX programming- Teaching tcp/ip network socket programming in C