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Ph.D. Student in Artificial Intelligence

B.S.E. in Computer Science

• Including 2 years of military service (ROKAF, 2021-2023)

Research Intern

• Built distributed training and MLOps environments in containerized (Kubernetes) infrastructure managing 100+ GPU clusters
• Researched efficient LLM training utilizing Data Parallelism and Fully Sharded Data Parallel (FSDP) techniques
• Conducted research on efficient LLM fine-tuning using LoRA/QLoRA methods and quantization techniques

Teaching Assistant

• Assisted a professor in teaching the Software Architect - Cloud Computing course to 83 Samsung developers
• Course topics included AWS Cloud, Kubernetes, and Serverless Computing

• M. Song, H. Kim, K. Lee, J. G. Son, and K. Lee, "Orchestrating WASM-based MCP Tool Runtimes for AI Agents across Edge-Cloud Continuum," in Proc. CCGrid '26 (To appear)

• S. Kang, M. Song, T. Kim, S. Lee, J. Han, H. Kim, and K. Lee, "HybridServe: Adaptive WebAssembly-Container Runtime Selection for Edge Serverless Computing," in Proc. WoSC11 '25, pp. 1-6
• S. Cheon, K. Kim, K. Kim, M. Song, and K. Lee, "Multi-Node Spot Instances Availability Score Collection System," in Proc. HPDC '25
• M. Song, T. Kim, K. Kim, and K. Lee, "Callisto: Cost-Efficient AI Development Platform Using Spot Instances," in Proc. KCC '25, pp. 617-619
• M. Song, W. Park, Y. Bae, J. Kim, D. Kim, and J. Kim, "CostNorm: LLM-based Cloud Cost Optimization AI Agent," in Annual Conference of KIPS '25, pp. 56-57

• M. Song, S. Cheon, K. Kim, Y. Kim, J. Moon, and J. Park, "Machine Learning Pipeline Deployment Platform Considering Optimal Performance and Cost," in Proc. KCC '24, pp. 621-623

• M. Song, Y. Hur, and K. Lee, "When Serverless Computing Meets Different Degrees of Customization for DNN Inference," in Proc. WoSC '23, pp. 42-47
• M. Song, K. Kim, J. Moon, Y. Kim, C. Nam, J. Park, and K. Lee, "KubEVC-Agent: Kubernetes Edge Vision Cluster Agent for Optimal DNN Inference and Operation," IEMEK J. Embedded Syst. Appl., vol. 18, no. 6, pp. 293-301
• J. Hwang, M. Song, J. Lim, and K. Lee, "Optimize Spot Instance Live Migration Using Network Storage in Cloud-Native Environment," in Proc. KCC '23, pp. 1323-1325
• M. Song, J. Choi, and K. Lee, "Open-Source Automated Software for Deploying Kubernetes Machine Learning Environment," in Proc. KCC '23, pp. 435-437

• Best Paper Award, KCC2025 Conference (Korean Institute of Information Scientists and Engineers)

• AWS Summit Seoul 2024 GameDay - Generative AI 2nd Place (Round 2), AWS Korea

• AWS Rookie Championship 2023 - AWS JAM 1st Place, AWS Korea

• Industrial Service Medal (산업포장), Republic of Korea

• Medallion for Excellence (Cloud Computing, 4th Place), WorldSkills Kazan 2019

• Silver Medal (IT Network System Administration), 53rd WorldSkills Korea National Competition