Builder.
Not just
a developer.
I turn ideas into real, usable products fast.
AI systems, dev tools, and data-driven products with real commercial impact.
Self-taught.
Execution-driven.
I don't stay in the concept phase. I define the problem, build the product, and ship it in short cycles. I build technical tools with real commercial potential: dev tools, AI infra, and data systems that solve actual problems.
Ship first. Refine later.
Technology I
actually use.
5+ years.
Real systems.
AI Product Engineer
Founder @ Zirvox · Independent
Designed and shipped multiple production systems. Built LLM-powered products: agents, document processors, and prompt pipelines running in production environments with real users.
Built things that run.
Products with real users, real infra, and real constraints.
Query batching + Redis cache
Model routing: agile models for speed, robust models for accuracy
AI pipeline automation across workflows
Active projects, heavily adopted by open-source communities
What I built
that actually works.
Founder @ Zirvox · two products in development. Four OSS published.

Zirvox AI
Zirvox an ecosystem of AI products, dev tools, and data platforms. AI platform built from scratch, with proprietary infrastructure, without relying on third-party SDKs.

FlipperZ
Research-to-deliverable agent. Transforms a query into a professional document with statement-level verifiable provenance.

LicensePulse
OSS license watchdog. Monitors the dependencies you use and alerts you when a license changes, before it becomes a legal problem.

LeadStrike
B2B prospecting engine by reputation gap. Finds companies losing money right now and delivers the lead ready to close.

Promptinel
Drift monitor for LLM pipelines. Detects when your prompts' behavior changes silently, before the user notices.
PublishCanary
Scans the actual npm tarball before publish. Blocks source maps, secrets, and internal files before they leak to the public.
LLMs are not buzz.
They are infra.
RAG pipelines, multi-model routing, memory layers. Not as demos, but as production systems that deal with real latency and token limit constraints.
Less wrapper. More engineering.
Conversational Agents
Proprietary · Open Weights
Document Processing
Automated extraction + structuring
RAG Pipelines
Embeddings + vector search
Prompt Engineering
Structured pipelines
On-Device Inference
TFLite · ONNX -70% Cost
LLM Orchestration
Multi-step LangChain
Zirvox an ecosystem of AI products, dev tools, and data platforms.