About

Core AI Engineer

20+ years designing high-load systems and platforms for AI products. Founder and ex-CTO of the AI startup SelfieBot. I specialize in production-ready infrastructure for local LLM/VLM inference, RAG systems, and MLOps automation — across Cloud and Bare Metal.

It all started with Assembly language for the ZX Spectrum: one day I wrote my own loader so that games loaded from cassette almost twice as fast as with the standard one. That was when I first realized I was more interested in understanding how a system works than simply using it.

Later, working as a DBA, I squeezed maximum performance out of SQL where others threw up their hands. Little has changed since then — I’m still more interested in building complex systems, finding bottlenecks, and making them faster, more reliable, and easier to operate.

Today, that approach has led me to AI Infrastructure. I design production-ready platforms for LLM/VLM, build RAG architectures, automate MLOps, and deploy local inference — from bare metal to the cloud. I enjoy working at the intersection of infrastructure, data, and applied AI, where every engineering decision can be measured by performance, cost, and reliability.

My experience in photography, design, and art direction added one more principle: a good system should not only be fast inside, but pleasant on the outside too. That’s why I pay equal attention to backend architecture, interfaces, and user experience.

Expertise

• ›AI / ML Infrastructure: Deploying and tuning local inference (vLLM, NVIDIA Container Toolkit, CUDA); Building RAG architectures (Qdrant, pgvector, LangChain / LangGraph, LangFuse); Computer Vision pipelines (OpenCV, PaddleOCR, DLib)
• ›Orchestration & DevOps: Fault-tolerant clusters (Kubernetes, Docker); IaC (Ansible), CI/CD, observability stacks (Grafana, Prometheus); Zero-Downtime migrations and High Availability architectures
• ›Backend & Data: High-throughput services in Go and Python (Asyncio, FastAPI, uv); Distributed systems (NATS), PostgreSQL on steroids; Data architecture, ETL/ELT, observability
• ›Product Mindset: Team leadership and zero-to-launch AI product experience (as CTO); Business metrics, data architecture, and design processes; Translating business pain into technical requirements

Interests

AI Infrastructure, Computer Vision, LLM Agents, Web Design, Digital Storytelling, photo & audio gear.

Want to know more?

The full work history, projects, and contacts live on the homepage — or in /llms-full.txt for AI agents.

• ›Homepage — pavelveter.com
• ›Get in touch — the /en/contact page