Can Sinan A. — Co-Founder

I architect data platforms and AI infrastructure that transform raw complexity into business value at scale. With 20+ years of experience bridging hardware, software, data, and cloud infrastructure, I've designed and delivered 14 GDPR-compliant data platforms across telecommunications, digital health, media, conversational AI, and deep-tech imaging, processing petabytes of data daily and enabling ML/AI capabilities at a global scale. MY APPROACH: I specialize in building data and AI architectures that unite engineering, product, and business: - Modern data platforms (Data Mesh, Lakehouse, Data Fabric) - Real-time pipelines and streaming analytics at petabyte scale - ML/AI infrastructure (MLOps, feature stores, model serving) - Edge-to-cloud data integration (IoT, network telemetry, industrial sensors) - Data governance and compliance frameworks (GDPR, ISO 27001, ISO 13485) EXPERTISE: - Data & AI Architecture: Data Mesh, Lakehouse, real-time ML pipelines, MLOps, feature engineering - Data Engineering at Scale: Petabyte-level pipelines, streaming analytics, event-driven architectures - AI Infrastructure: Model serving, inference optimization, feature stores, A/B testing frameworks - Enterprise Architecture: TOGAF, Domain-Driven Design, microservices, edge-to-cloud systems (pioneering since 2008) - Scale-up Transformation: Co-founded startup, guided companies through Series B funding - Compliance & Security: GDPR, ISO 27001, ISO 13485 across 14 platforms CAREER HIGHLIGHTS: - Co-founded and scaled a technology company building edge-to-cloud automation that remains unmatched in the market - Architected Health Data Platform enabling €25M Series B funding round - Built petabyte-scale data platforms serving millions of users in real-time - Unified 647 heterogeneous hardware variants with cloud data infrastructure for global media operations - Coordinated 3,000+ technology professionals across major data transformation programs - Pioneered edge-to-cloud ML systems (2008-2014, before modern cloud and AI tooling matured) I'm passionate about making architectural thinking natural, building high-performing data teams, and creating systems that support ambitious long-term visions while maintaining agility and technical excellence. Views and opinions expressed are my own. Follow me for insights on Data Mesh vs. Data Fabric trade-offs, real-time ML infrastructure patterns, GDPR-compliant data platform design, and building data engineering teams.

Stackforce AI infers this person is a Data & AI Architect with extensive experience in building scalable data platforms across various industries.

Location: Munich, Bavaria, Germany

Experience: 21 yrs 9 mos