Whether you need hands on the keyboard or a strategic sparring partner, I meet you where you are.
Hands-on building for teams that need a senior AI engineer embedded in their workflow. I write the code, ship the system, and make sure it holds up in production.
Best for: Teams with a defined problem that need someone to build, not just advise.
Strategic guidance for teams exploring AI or evaluating their approach. No building — just clear thinking about where AI fits, what tools to use, and how to avoid expensive mistakes.
Best for: Founders and teams figuring out the right approach before committing to a build.
Structured engagements with defined deliverables. A clear scope, a clear outcome.
A focused assessment of your AI approach — or your readiness to start one. You get a written brief with prioritized recommendations and a concrete next step.
A working proof-of-concept, built and delivered. We define the scope together, I build it, and you get a functional system with documentation — not a slide deck.
Consistent senior AI support without the overhead of a full-time hire. I integrate into your team's rhythm — architecture reviews, code reviews, debugging, strategic guidance, and hands-on building as needed.
I have a PhD in neuroscience and 15 years building ML systems — from neural data analysis and computer vision in biomedical research to production pipelines at Cruise and AWS. I've worked across the full stack: research prototypes, clinical data infrastructure, autonomous vehicle systems, and consumer-facing AI products.
I'm not a strategist who's never shipped code, and I'm not a developer who can't see the bigger picture. I sit at the intersection — and that's where most AI projects need help.


# Production LLM agent orchestration
from langgraph.graph import StateGraph
from langchain_core.messages import HumanMessage
def run(state: dict) -> dict:
# Validate and route
query = state["query"]
history = state.get("history", [])
# Initialize pipeline
llm, provider = get_llm_with_failover(
task="general_agent"
)
logger.debug(f"Provider: {provider}")30 minutes. No pitch, no commitment. Just a conversation about what you're building and where you're stuck.
Schedule a Free ConsultationPrefer email? mike@peztek.com