Thoughts on technology leadership, software engineering, and building great teams. I share insights from my experience leading technology initiatives and scaling engineering organizations.
Showing 9 of 9 posts
Marketing data demands absolute precision. The solution to building a reliable enterprise AI tool wasn't to make the LLM smarter—it was to stop treating it as the worker and start treating it as the router.
30 days, 100K conversations, and one NVIDIA A100. Here's what I learned building an LLM from the ground up.
The most expensive mistake in software isn't bad code. It's the communication gap between business and engineering.
Delegation, precision, and a disciplined validation framework are the new senior-level skills when using AI to write code.
For years, I thought my value came from being the best coder in the room. My journey from engineer to leader taught me that the most impactful work happens when you step away from the keyboard.
AI isn't replacing engineers—it's amplifying them. The future belongs to those who master the fundamentals and know how to guide these powerful tools.
The core competency of an engineer isn't technical proficiency—it's the ability to deconstruct problems and build automated systems to solve them.
After a 6-month deep dive into machine learning, I'm sharing the critical lessons that will shape my company's AI strategy.
An exploration of the distinct realms of web development and software engineering, outlining the primary differences between web developers and software engineers, detailing their roles, responsibilities, and skill sets.
Free 30-minute consult. If I'm not the right fit, I'll say so and point you to who is.