Transforming Business Through AI

I am a PhD computer scientist turned AI consultant, and founder of Chelsea AI Ventures. I've authored several books including Amazon bestsellers Generative AI with LangChain and Machine Learning for Time-Series with Python, the Artificial Intelligence with Python Cookbook, and -- most recently -- a book about RAG that covers both fundamentals and state-of-the-art.

I transform businesses through enterprise-scale AI solutions that deliver measurable impact. From fraud detection systems saving millions to real-time decision engines processing 100k+ daily transactions, I bring deep technical expertise and practical business focus to every project.

• Built enterprise-scale fraud detection systems preventing millions in annual losses
• Developed real-time ML decision engine processing 100k+ daily transactions at <300ms latency
• Improved marketing ROI by 15% through ML-driven optimization at a major travel platform
• Published bestselling books on GenAI and ML implementation with 100k+ in sales

My PhD research (KTH) has been cited close to 600 times. I combine quick wins with experimental work that pays off later, and say up front which one you are buying.

Holding a fixed capability gets 5 to 10 times cheaper a year; running the frontier model of the day gets 3 to 18 times dearer (Gundlach et al., 2025).

I write about this on Substack, where I coined the Stochastic Man-Month Rule: adding AI to a workflow amplifies the verification workload faster than it speeds delivery.

AI Consulting

I also engage as a Fractional Head or Chief AI Scientist or Head of AI. See the Fractional Head of AI description on the Chelsea AI website for more details.

Education

See the AI and machine learning training course catalogue on the Chelsea AI website for more details.

If you're a founder, board member, or technical leader weighing build vs. buy on an AI initiative, message me to set up a 30-minute scoping call.