Location: EU/US Remote: Yes Willing to relocate: No CV: Ask Email: d.dev.nyc+hnjobs@gmail.com

I help organizations evolve into AI-native businesses by redesigning processes, decision-making, and operating models around LLMs, agentic systems, and intelligent automation. I enjoy partnering with leadership to identify high-leverage opportunities, define AI strategy, and translate ambitious transformation goals into processes that drive organization-wide adoption.

My focus is applying frontier AI capabilities—LLMs, agents, and intelligent automation—to transform how companies operate: redesigning business processes, augmenting teams, automating knowledge work, and building agentic workflows that create measurable business impact.

I specialize in bridging the gap between business strategy and technical execution. I work with executives, operators, and technical teams to identify high-value AI opportunities, translate ambiguous problems into scalable solutions, rapidly prototype systems, and drive adoption across teams.

My expertise includes enterprise agentic workflows, AI-native operating models, AI orchestration, workflow automation, autonomous business processes, and production AI deployment.

I'm particularly interested in helping companies rethink how work gets done — building AI-first workflows and augmenting decision-making where humans and AI collaborate effectively. I enjoy working across strategy and implementation, taking ideas from discovery through deployment, adoption, and continuous improvement.

Looking for Forward Deployed Engineering opportunities where technical excellence, customer partnership, and AI-driven organizational transformation are equally important. If that's the transformation your company needs, reach out via email.

writing down circuit diagrams is like cooking about music.

> what SOTA LLMs are you referring to?

I have done a survey among analog electronics designers just a couple weeks ago and they all said that their forays into LLMs were great for digital electronics, code, and firmware, but for analog they were pretty terrible, with a variety of LLMs, according to everyone.

So, I disagree with this line of criticism - I think you very well can do those things.

Making a workflow central to your business dependent on the goodwill and efficiency of an external entity is a very bad idea!

It's good that you've found a partner who is willing to put in the work, but that is luck rather than what normally happens.

> PISIGuard runs entirely in your browser. It spots names, email addresses, phone numbers, credit card numbers, passwords, API keys, and more, replaces them with safe placeholders, then puts the real values back into the AI’s reply. From your point of view, it’s mostly invisible; from the AI’s point of view, the sensitive stuff was never there.

I suggest putting it at the top of the readme!

I think it's a very smart system, and could easily extend beyond AI use. Please continue working on it!