Software That Keeps Working After the Demo
TFKS is a small, founder-led engineering practice. I help teams design, build, and operate backend systems, from event pipelines and search to the AI-assisted workflows people are now trying to bolt onto both. My bias is toward the simplest thing that will still hold up at 2am.
Where I Can Help
Event & Data Pipelines
Ingest, transform, and route logs, metrics, and events with bounded memory and no silent drops, without dragging in a heavyweight stack.Observability & Cost
Cut telemetry noise you're paying to store, and keep the signal you need when something goes sideways.Search & Relevance
Hybrid lexical and vector search, measured against benchmarks rather than vibes.Agentic Workflows
Put LLM agents to work inside your existing tools, with audit trails and narrow permissions.
Proof, Not Promises
I build and run my own software in production. A few examples:
- LogBus: a streaming event processor that sustained 67,500 events/s through seven stages, with zero drops across 35.4 million events, including a deliberate overload on every run.
- FJX: a forge where humans and LLM agents collaborate through the same issues and pull requests.
- PimStash: a product TFKS designs, builds, and operates end to end.
How Engagements Work
- A conversation. You describe the problem; I tell you honestly whether I'm the right fit.
- A short, scoped first step. An assessment, a prototype, or a fix, with a fixed scope and a clear deliverable.
- Then we decide. Continue, hand off to your team, or stop. No lock-in.