Preamble
15 years ago, I worked at a company where we ran an internal blog — daily lessons from the trenches of our small consulting boutique that used math to improve business processes. I left after four years for personal reasons, but the itch to write blog posts never left; I missed turning chaos into something shareable - and discovering, through writing, what it really meant.
So in later teams I baked it in: Friday written stand-ups ended with a "lessons learned" rubric, typed up and circulated, turning weekly stumbles into quiet wins. Now, with AI, I spun up full blog functionality on modern-datatools.com in 30 minutes flat—then burned the next 30 fighting Git and auto-deployment quirks (a story for another post). This blog picks up that thread, sharing tech experience in the AI era the way it lands in real life: digestible, applicable, human-written.
What You'll Find Here
Expect three flavors, each rooted in what I've lived.
Tech Leadership Through AI Shifts.
I've led teams from manual pipelines to AI-assisted everything—rewriting codebases, rethinking roles, navigating the hype. Posts will unpack personal pivots: how I grew from coding solo to guiding AI-augmented squads, with stories of what scaled, what imploded, and the quiet habits that endure. Think: "How we cut deployment bugs 40% by pairing humans with AI prompts, and why it almost failed twice."
Tool Reviews From the Front Lines.
No top-10 lists. Instead, "I tried this AI data tool on a live ETL job—here's the before/after diff, the gotchas, and whether it'd earn a slot in my stack." Focus on software development with AI, data engineering breakthroughs, applied science workflows—industry reality, not vaporware.