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Data Scientist
June 27, 2026 – Present
aim306-kiro-sagemaker
June 9, 2026 – Present
AWS Summit LA 2026 (AIM306): drive an open-weight LLM to a deployed, benchmarked Amazon SageMaker AI endpoint through a coding agent, steered by portable SKILL.md contracts.
View ProjectAWS-AI-Powered-Sales-Productivity-Suite
March 9, 2026 – Present
AWS-AI-Powered-Sales-Productivity-Suite — GitHub repository
View Projectqwen3-finetuning-on-sagemaker
July 11, 2025 – July 11, 2025
This project provides a complete workflow for fine-tuning Qwen3 models using LoRA (Low-Rank Adaptation) on Amazon SageMaker, from data preparation to model deployment and inference.
View Projectpersonal-ai-task-assistant
August 26, 2024 – August 26, 2024
The Personal AI Task Assistant is an interactive AI tool designed to assist with task automation, project management, and decision-making. This assistant leverages natural language processing to understand user inputs, execute tasks with integrated tools, and provide detailed updates and visualizations of progress.
View Projectopensearch-semantic-cache
August 19, 2024 – September 2, 2024
이 프로젝트는 LangChain과 OpenSearch를 사용하여 AI 모델의 응답을 캐싱하는 예제를 제공합니다.
View Projectaws-architect-agent
July 26, 2024 – July 28, 2024
This project uses LangGraph and Amazon Bedrock to generate AWS architecture diagrams based on user queries.
View Projectsagemaker-deploy-llms
March 14, 2024 – March 28, 2024
AWS SageMaker를 이용하여 HuggingFace의 Large Language Models(LLMs)을 배포하고, 선택적으로 스트리밍을 지원하기 위해 Lambda 함수와 API Gateway를 설정하는 프로젝트입니다.
View Projectllama2-finetuning-deploy
December 7, 2023 – April 25, 2024
이 프로젝트는 Amazon SageMaker에서 LLama2 Large Language Model (LLM)을 미세 조정하는 방법을 보여줍니다. Hugging Face의 PEFT (Parameter Efficient Fine-tuning) 기법과 QLoRA (Quantized Low-Rank Adapters)를 사용하여, 대규모 언어 모델을 더 효율적으로 미세 조정할 수 있습니다.
View Projectamazon-bedrock-client-for-mac
October 17, 2023 – Present
A native macOS client that brings Amazon Bedrock's AI models directly to your desktop. Access Claude Opus 4.8, Sonnet 4.6, and other foundation models through a clean interface designed for macOS, with system-wide quick access and full AWS integration.
View Projectaws-graviton-getting-started-kr
November 2, 2022 – November 8, 2022
이 저장소는 AWS Graviton Technical Guide의 한글 번역본입니다. 이 문서는 6세대 및 7세대 Amazon EC2 인스턴스(C6g[d], M6g[d], R6g[d], T4g, X2gd, C6gn, Im4gn, Is4gen, G5g, C7g)를 구동하는 Arm 기반 AWS Graviton2 및 Graviton3 프로세서를 신규 사용자가 사용할 수 있도록 돕기 위해 작성되었습니다.
View ProjectCultural Fit Analysis
The candidate's projects are predominantly personal and highly focused on AWS AI/ML technologies. While this demonstrates strong initiative and deep technical interest, the lack of diverse team projects or broader industry exposure makes it difficult to fully assess cultural fit. The current role at 'aws)' aligns well with the technical focus, but the 'experienceLevel' of 0 suggests this is a very recent or entry-level position, which might impact senior-level cultural expectations.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a strong focus on practical application and development, which suggests a results-oriented approach. However, without psychometric test results or interview data, collaboration, communication, and stress handling cannot be evaluated.