Bill Scolinos

About Bill Scolinos

AI Solutions Engineer specializing in the architecture of scalable generative AI and RAG systems for Fortune 50 and other large enterprises. Leveraging an M.S. in Data Science and a research background, I combine academic rigor with production engineering to drive high stakes POCs from concept to deployment, making sure AI infrastructure actually delivers measurable business outcomes rather than just demos.My background includes applied research in deep learning, reinforcement learning, and quantitative comparative analysis of AI models for both embeddings and generation. I am currently focused on the intersection of distributed systems and modern AI, especially low latency inference, production grade vector search, and emerging AI agent patterns that can operate reliably in real enterprise environments.Core Technical Competencies: Specialize in building high-throughput ML systems using Python, PyTorch, and SQL. Expertise spans the full lifecycle of AI deployment: from conducting exploratory data analysis and architecting distributed multi-GPU training pipelines to optimizing inference on Nvidia hardware. Proficient in integrating Vector Databases, automating MLOps workflows, and implementing Fine-Tuning strategies to tailor LLMs for enterprise use cases.

Experience

1. Solutions Engineer

   SingleStore

   Apr 2024 — Present

   Architecting distributed Generative AI systems for strategic enterprise clients. I specialize in proving technical value through high-stakes POCs, bridging the gap from experimental prototype to full-scale deployment.• Designed RAG pipelines for 25+ enterprise clients, enabling sub-second embedding, search, and generation across 1B+ vector embeddings.• Tuned inference via model optimizations, vector indexing, and hardware selection for a Global Media Giant, cutting end-to-end latency by 35% while boosting throughput by 60%.• Increased vector search usage by 1,300% with a Tier-1 financial client.• Engineered 15+ full-stack AI prototype applications, showcasing real-time ingestion of 1M+ events per second, production-grade AI agents, and enhanced monitoring.

Education

• Eastern University

  Master of Science in Data Science

  2022

• Baylor University

  Bachelor of Business Administration , Finance & Economics

• University of California, Berkeley

  Extension program, FinTech