You have a question.
That's where I start.
Maybe it's why your AI keeps hallucinating, why your reports never match, or whether you even need AI at all. The technical problem reveals itself once we start digging. I help you find it, design the right solution, and build it.
These are the questions I help answer.
If any of these sound like your Tuesday morning, we should talk.
"Our AI chatbot keeps making things up. Is it the model or the data?"
AI Solutions"We have 3 years of data in spreadsheets that nobody trusts."
Data Engineering"We're paying $40K/month for AI APIs. Is that normal?"
AI Solutions"My team spends 20 hours a week manually pulling reports."
Analytics"We built a proof of concept that worked. Production broke everything."
AI Solutions"Our numbers never match across teams. Nobody knows which report is right."
Data Engineering01
AI Solutions & Architecture
There's a lot of noise in the AI space. Every tool claims to be intelligent, every platform promises transformation. I help cut through that — figuring out whether AI is even the right approach, and when it is, getting the architecture right from the start.
Before
Your AI chatbot answers 80% of questions correctly. The other 20% it confidently makes up. Customers are losing trust and your team is manually reviewing every response.
After
Proper RAG architecture with guardrails. Hallucination rate drops to under 2%. The system says "I don't know" when it doesn't know. Your team reviews exceptions, not everything.
What you walk away with
Architecture blueprint document
Working production system
Guardrails and monitoring
Cost analysis and optimization
02
Data Engineering & Infrastructure
AI doesn't work without good data. Neither does anything else. I design and build the pipelines, warehouses, and integrations that give your data a proper foundation — reliable, structured, and accessible without requiring a developer every time someone has a question.
Before
Data lives in 4 different systems. Your analyst spends 2 days a week just getting numbers to match. The CEO's dashboard says one thing, finance says another. Nobody trusts the data.
After
One warehouse, automated pipelines, single source of truth. Reports generate themselves. Your analyst spends time on analysis instead of data wrangling. Numbers match everywhere.
What you walk away with
Centralized data warehouse
Automated data pipelines
Data quality monitoring
Migration plan and execution
03
Analytics & Business Intelligence
Data infrastructure gets the data where it needs to go. Analytics turns it into something you can act on. I build reporting systems that give decision-makers clear, accurate visibility — not vanity metrics, but actual operational intelligence.
Before
Monday: CEO asks why Q1 forecast is off. Tuesday: analyst pulls data from 3 systems. Wednesday: numbers don't match. Thursday: finds a broken pipeline. Friday: delivers a "best guess" with caveats.
After
Monday: the dashboard already flagged the variance last week. Root cause traced in 10 minutes. Updated forecast delivered before lunch. Your analyst works on strategy, not firefighting.
What you walk away with
Interactive dashboards
Automated reporting pipelines
KPI framework and definitions
Self-service access for your team
Not a big consultancy. That's the point.
You talk to the person doing the work
No project managers, no handoffs, no "let me check with the team." The person on the discovery call is the person writing the code.
Discovery and diagnosis are free
No 50-page proposals. We have a conversation, I tell you what I think, and you decide if it makes sense to move forward. No commitment until you're ready.
I build the thing, not just recommend it
Strategy is useful. But a strategy deck that sits in a drawer doesn't solve anything. I design it and build it — working code, not just slides.
Two months of support, included
I don't disappear after delivery. Every project includes two months of post-launch support — tuning, fixing, answering questions. It's part of the deal.
Start with a question.
We'll figure out the answer together.
30 minutes on Google Meet. No prep needed, no pitch — just an honest conversation about what you're dealing with.