AI engineer and founder.I ship production systems solo.
I shipped Content Raptor, a B2B AI SaaS, solo to 300+ paying customers over three years. Now I split my time between consulting and open-source AI tooling.
What I do
AI automation for your business
Find the manual work eating your week and automate it. A free discovery call ranks the opportunities by time saved and error risk; your first automation is live in weeks, with the ROI measured.
How it works →AWS cost audit
A fixed-price audit of your AWS bill that puts a dollar number on every finding, with a dedicated pass over your AI and inference spend. $5,000, fixed, with a sample report you can read first.
See the audit →Proof, in public
I'd rather show the work than describe it.
Case study: Content Raptor on AWS
The architecture behind a multi-tenant AI SaaS I built and ran for three years: 14 Lambdas, SQS fan-out, hash-partitioned Aurora Postgres, and the production decisions that kept it boring.
Sample AWS cost audit report
A real run of my open-source analysis engine on a synthetic account: $41,127/mo analyzed, $7,046/mo of recoverable savings, every number with its assumption stated.
Open source at github.com/zkann
cost-engine (a FinOps engine with a public MCP server), llm-gateway (a multi-model LLM router), hybrid-rag (retrieval with a measured eval harness), and SmbOS (a Claude Code plugin for small businesses).
I started in computational chemistry. The PhD taught me to build measurement systems, and I've been building the infrastructure under them ever since, as a senior data scientist and as CTO of a pre-seed startup before founding my own.
More about me →Want to work together?
Consulting, hiring, or building something that needs a technical partner: book a free 30-minute call, or email zak@zakkann.com.
📅 Book a free 30-min call