How it started: from a whispered question to an AI platform

In early 2023 I was late to the AI conversation.

I was going through a difficult time personally and wasn’t following the news. The wave was building and I had missed it.

Then our Chief Strategy Officer stopped by my desk one day, moving fast and excited. He leaned in and almost whispered:

“Victor, are you interested in working on something with ChatGPT?”

I said yes. I almost always say yes to new things.

He went straight to the CEO. The CEO pushed my VP. Suddenly I had an initiative.

I still didn’t fully understand what I had agreed to.

A week later my CEO pulled me into a room and asked me to attend a Harvard Business School workshop on AI directed by his former professor. I went.

A Harvard computer science professor demonstrated GPT on real business problems — not demos, not toy examples. A complete marketing plan built from documents and text in real time. My brain went into overdrive.

I came back and went deep. Nights. Weekends. RAG, embeddings, vector databases, LangChain, the OpenAI API. DeepLearning.ai courses. Fine-tuning, LoRA, evaluation metrics. The Deep Learning book cover to cover. Nobody asked me to. I just couldn’t stop.

By September 2023 — roughly 6 months from that whispered question — I had a RAG microservice in production, connected to our main application, summarizing qualitative research data for Fortune 500 clients.

That was the beginning.

I’m an Industrial Engineer by training, not a CS graduate. I think in processes and systems. It turned out that was exactly the right way to think about AI.

Over the next 3 years I built a full AI engineering platform, led a team, directed external vendors, ran workshops, and watched a whisper turn into the most important work of my career.

I hadn’t talked about any of this publicly. That changes now.

If you’re building with AI or leading AI efforts in your company — follow along. I’ll share the real journey: what worked, what didn’t, and what’s next.