Optimized Infrastructure: The Full-Stack Infrastructure Challenge: Balancing Costs, Efficiency, & Performance in Full-Stack Solutions | Kisaco Research
Session Topics: 
Optimized Infrastructure
Gen AI
Agentic AI
Sponsor(s): 
AWS
Speaker(s): 

Author:

Jeongkyu Shin

CEO
Lablup

Jeongkyu Shin is the founder of Lablup Inc. and has made significant contributions to open-source projects over the past two decades, including his lead developer role in the Textcube Project. He has served as an AI expert at Google Developers Experts since 2017 and was active in the Innovative Steering Board of the Northeast Asia Open Source Software Promotion Forum until 2022. In recognition of his contributions to the technology industry, he was awarded the prestigious Industrial Service Medal by the Korean government in 2024. Additionally, Jeongkyu supports startup companies as a technical mentor at Google for Startups Accelerator.

He holds a Ph.D. in Statistical Physics from POSTECH, where his research focused on complex systems, agent-based models, and computational neuroscience. Throughout his career, Jeongkyu has led machine learning and open-source projects in various companies and labs, specializing in text classification, entropy-related information compression, and contextual search. Since 2015, he has been developing Backend.AI, an open-source, hyper-scalable AI infrastructure platform (available at https://www.backend.ai).

Jeongkyu Shin

CEO
Lablup

Jeongkyu Shin is the founder of Lablup Inc. and has made significant contributions to open-source projects over the past two decades, including his lead developer role in the Textcube Project. He has served as an AI expert at Google Developers Experts since 2017 and was active in the Innovative Steering Board of the Northeast Asia Open Source Software Promotion Forum until 2022. In recognition of his contributions to the technology industry, he was awarded the prestigious Industrial Service Medal by the Korean government in 2024. Additionally, Jeongkyu supports startup companies as a technical mentor at Google for Startups Accelerator.

He holds a Ph.D. in Statistical Physics from POSTECH, where his research focused on complex systems, agent-based models, and computational neuroscience. Throughout his career, Jeongkyu has led machine learning and open-source projects in various companies and labs, specializing in text classification, entropy-related information compression, and contextual search. Since 2015, he has been developing Backend.AI, an open-source, hyper-scalable AI infrastructure platform (available at https://www.backend.ai).

Time: 
1:50 PM - 2:30 PM
Agenda Track No.: 
Track 2
Session Type: 
Track
Session Stage: