Tools I use in production — not tools I have a partnership with
Every technology listed here has been deployed in a production system. I am vendor-agnostic by design — the right tool depends on your use case, your data, and your budget. No partnership deals influence my recommendations.
Foundation models for reasoning, generation, and multimodal tasks
Industry-recognized credentials demonstrating expertise
Scrum.org
Product ownership and value maximization in Scrum
Issued 2019
Scrum Alliance
Agile facilitation and Scrum framework mastery
Issued 2018
Scaled Agile
Scaled Agile Framework for enterprise transformation
Issued 2021
Product School
Building and managing AI-powered products
Issued 2023
DeepLearning.AI
Neural networks, CNNs, RNNs, and transformers
Issued 2022
No vendor partnerships influence my recommendations. I choose the model that fits your latency, cost, and accuracy requirements.
Every tool here has been deployed in a system that handles real traffic. Lab-tested tools do not make this list.
Most AI projects overspend on infrastructure by 3-5x. I right-size from the start — smaller models, smarter caching, efficient inference.
AI models change every quarter. My architectures abstract the model layer so you can swap providers without rewriting your application.
Book a 30-minute call. I will assess your requirements and recommend the right combination of models, infrastructure, and frameworks — with cost estimates.