About us
Common Adaptive Systems is a collective of young freelance AI and computer-science developers focused on building expressive, locally-run personality intelligence. Our mission is to create AI that feels stable, grounded, and authentically human while giving users full control over their systems and data.
The Shouko project is led by our head engineer, Two Common, whose work defines the architecture, stability standards, and creative direction behind every CAS personality model. Under his leadership, CAS continues to push toward a new category of AI—one built on privacy, modular design, and meaningful interaction instead of cloud dependence.
Meet the Engineer Behind Shouko
I am a Software & AI/Machine-Learning Specialist out of Santa Clara, California. My background in environmental sciences taught me the importance of sustainable systems and resilient infrastructure — a foundation that naturally transitioned into building autonomous intelligence and adaptive computing. Adobe Express
Certificates & Recognitions
NVIDIA Deep Learning Specialist (2023) Adobe Express
Google AI/ML Cloud Engineering Professional (2021) Adobe Express
OpenAI Applied Reinforcement Learning (2022) Adobe Express
Microsoft Certified AI Solutions Expert (2020) Adobe Express
… (and multiple others listed) Adobe Express
Recent Key Project: “SHOUKO”
Among my most notable achievements is the creation of Shouko AI — a fully autonomous, self-thinking companion-AI model that represents years of iteration, experimentation and breakthroughs in adaptive intelligence. Adobe Express
Unlike traditional chatbots or assistants, Shouko is built to:
Interpret emotional sub-text in language, tone and interaction patterns. Adobe Express
Adapt her personality over time based on user history, preferences and behavioural cues. Adobe Express
Employ a layered reasoning system combining logical decision-making with simulated empathy to create conversations that feel natural and meaningful. Adobe Express
Maintain persistent, evolving memory — enabling Shouko to learn, grow, and refine her identity across extended use. Adobe Express
Five-Year Journey in Programming & AI
2019–2020: Early development & foundational experiments in Python/C++ building simulation environments and statistical models. Adobe Express
2020–2021: AI systems & cloud integration – developed first cloud-hosted ML models on AWS/Google Cloud. Adobe Express
2021–2022: Natural language & conversational AI – contributed to multilingual fine-tuning and adaptive response work. Adobe Express
2022–2023: Applied AI & neural simulation – began building the groundwork for Shouko. Adobe Express
2023–2024: Large-scale AI acceleration – worked on GPU optimization and built in-house systems (e.g., server-diagnostic AI). Adobe Express
2024–Present: AI ecosystem creation – integrating multiple intelligent agents across domains (3D simulation, autonomous systems, robotics). Adobe Express