Orestis Tsinalis is a Principal ML Engineer based in the UK with 14 years of engineering experience and a decade focused on applied AI/ML, combining deep academic training (PhD, MSc from Imperial College) with hands-on startup and enterprise impact. He has led end-to-end AI systems—from data lakes and low-latency recommendation engines to multi-million-sample video transformer training and real-time trading algorithms—owning architecture, CI/CD, and production deployments. As Founding CTO of BIGBAG he built a sub-100ms personalized recommendation stack and agentic search/synthetic data pipelines, and as a consultant he solved previously unsolved sports video event-detection problems at scale. He’s comfortable spanning teams and tech (Python, PyTorch, LangChain, GCP/AWS/Azure, Redis, Weaviate, BigQuery) and has repeatedly translated research-grade models into reliable, observable production services. Notably, his background in architecture and early-career construction/architecture roles surfaces in his systematic, infrastructure-first approach to designing scalable ML platforms.
14 years of coding experience
7 years of employment as a software developer
PhD Computer Science, PhD Computer Science at Imperial College London
MEng Architecture, MEng Architecture at National Technical University of Athens
A django model mixin that allows a function to be run if there are changes to the model on save.
Contributions:2 PRs, 6 pushes, 2 branches in 3 days
changespythondjangodjango-modelpython-3
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