- Engineered an expansive multi-modal topic modeling system for enterprise use, tailoring various ML models including LLM (Llama2, Falcon). - Developed a production-grade image generation service at the enterprise level, harnessing StableDiffusion with Dreambooth and fine-tuning using ControlNet. - Showcased a chatbot demo, featuring LLM (Alpaca model), on ECS at the AI/ML booth during the AWS Summit 2023. - Established and rigorously tested an event-driven microservice system to aggregate sensor data, utilizing CDK, Kafka, ECS on EC2, and Opentelemetry. Ensured the target system maintained a zero-tolerance policy for data loss across all potential failure scenarios.

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- Designed and implemented an event-driven serverless application, allowing other internal remote servers to efficiently schedule and execute numerous tasks on-demand. This fully observable service was developed using CDK, Lambda, DynamoDB, SQS, EventBridge, and MSK. - Created a link-bio service tailored for Indonesian sellers, utilizing Golang and MSK on EKS. - Delivered several technical presentations to peers, sharing valuable insights and knowledge, some of which were published on YouTube (https://www.youtube.com/watch?v=MKfSLrwLex8) and received over 6.7k views.

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- Spearheaded the organization of the Serverless expert group in Korea, providing mentorship to peers and guiding them through a membership program. - Played a crucial role in the early-stage prototyping of Uncommon Store at The Hyundai. Specifically, I led the re-architecting of the computer vision processing and near-real-time tracking of people using machine learning. Additionally, I fine-tuned the multi-object tracking system and developed workshop materials to share insights with the team.(https://github.com/haandol/sagemaker-yolo-finetune-workshop) - Collaborated with Kurly on prototyping the integration of Amazon Personalize. Implemented a CI/CD pipeline for the Amazon Personalize service, expediting experimentations and facilitating the deployment of new models. - Actively participated in the internal security champion program, assisting colleagues in navigating the internal security review process. - Developed numerous other innovative solutions, although their details cannot be disclosed publicly at this time.

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- Working as a software engineer for both Need For Speed Edge Online and FIFA Online4. - Designed and implemented multi player matchmaking system for FIFA Online4 Volta mode. - Developed and operated multiple microservices using Docker swarm and Kubernetes, contributing to a robust and scalable architecture. - Actively contributed to the Microservices Architecture (MSA) web framework leveraging Typescript, Message queue, and Dependency injection to enhance development efficiency and maintainability. (https://github.com/haandol/starhq) - Utilized data analysis techniques to solve diverse problems, including the detection of fraudulent users through the analysis of log events.

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- Spearheaded the development and management of the backend services for the Homeshopping-moa app which has 1M MAU. - Successfully decomposed a monolithic system into three independent microservices, empowering each team to deploy autonomously. - Seamlessly migrated the entire system from IDC to AWS, ensuring a smooth transition and improved scalability. - Significantly enhanced system capacity by 350% through the effective implementation of multiple cache layers. - Led the DevOps efforts for the product search service, leveraging Elasticsearch cluster to optimize performance and reliability. - Authored and published seven insightful articles about Machine Learning, contributing to two reputable online tech magazines (https://www.comworld.co.kr/news/articleView.html?idxno=48900).

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