>_
ONLINE·citizenship: Russia

$guest@pavel-veter:~$whoami

Hi, I'm
Pavel Borisov

>Senior AI Infrastructure 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.

01./about

About

Senior AI Infrastructure Architect / Lead DevOps 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.

desired_position

Senior AI Engineer / AI Infrastructure Engineer

  • DevOps Engineer
  • Software Developer
  • Development Team Lead
  • System Engineer
  • Chief Technology Officer (CTO)
Employment type:Full-timePart-timeProject / one-off
Work format:On-siteRemoteHybrid

Acceptable commute: any

$ interests: AI Infrastructure, Computer Vision, LLM Agents, photo/audio gear, Digital Storytelling.

$ 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
$ Tech stack
> Python (asyncio, FastAPI, Multiprocessing, uv)> Bash> Go> Kubernetes> vLLM> LangChain> LangGraph> LangFuse> Qdrant> pgvector> PaddleOCR> OpenCV> PostgreSQL> NATS> Redis> Ansible> Docker> Grafana
02./experience

Experience

Experience — 22 years 8 months[ 22 years 8 months ]
  1. AI Infrastructure & Highload Systemstech-lead

    7 years 5 months
    Lead Engineer·Consulting / Outsourcing

    [March 2019 — Present]

    • Designing, scaling, and migrating infrastructure for high load and AI/ML services for clients in e-commerce, AdTech, and IoT.
    • Deploying and containerizing AI solutions: computer-vision pipelines, local LLM inference, and RAG systems.
    • Building fault-tolerant architectures (Kubernetes, Docker) and CI/CD automation to reduce Time-to-Market.
    • Tuning PostgreSQL performance for high-throughput analytical workloads.
    • Owning the full engineering lifecycle: business requirements → Cloud / Bare Metal release.
  2. АТТЭК (ATTEK)teaching

    3 months
    Lecturer / Mentor — AI, QA, Backend·Saint Petersburg

    [October 2025 — December 2025]

    • Designed and ran a practical course on Python, SQL, automation QA, and modern AI workflows.
    • Brought 26 pre-junior students up to production-ready level.
    • Supervised real student projects using LLMs and Cloud PostgreSQL.
    • Promoted best practices for backend dev, testing, and system design.
    • Acted as mentor and tech lead on capstone projects — practical engineering over dry theory.
  3. Selfiebot.rufounder

    1 year 10 months
    Founder·Remote

    [November 2023 — August 2025]

    • Built from zero to first revenue an AI-powered lead-gen and face-recognition platform.
    • Designed and shipped a REST API (FastAPI) and CV pipelines (DLib, OpenCV).
    • Integrated LLMs (GPT and local), driving marketing-conversion gains.
    • Built the frontend (React + Tailwind) and infrastructure (Docker, Debian, monitoring stack).
    • Cut downtime to <1% via observability (Prometheus, Grafana).
    • Reached first revenue and ~1,000 active users.
    • End-to-end ownership: product, architecture, infrastructure, and team processes.
  4. Raskachaem.ruleadership

    3 years 1 month
    Regional Director·Arkhangelsk

    [March 2014 — March 2017]

    • Ran regional operations in a competitive media market.
    • Led a distributed team of ~10 photographers and content makers.
    • Coordinated intensive event coverage on tight deadlines.
    • Built partnerships with venue owners and media outlets.
    • Negotiated commercial partnerships and ad campaigns.
  5. ZAO «SIA International-Arkhangelsk»enterprise

    12 years 2 months
    Head of IT Department, DBA·Arkhangelsk

    [November 2003 — December 2015]

    • Managed IT infrastructure and data architecture for a large pharma distributor (central hub + 2 branches, 200+ corporate clients). 6-person team.
    • Zero-Downtime migration: moved the data center and the company to a new building without halting operations or shipments.
    • High Availability: designed and scaled a distributed, fault-tolerant order-processing system across the branch network.
    • Migrated the core ERP system with no data loss and no tech downtime.
    • Delivered monitoring, backup, and electronic-document workflows for the branch network and clients.
    • Built bespoke wholesale-trading software (Python, Bash, SQL).
    • Full management loop: IT budgets, risk, hiring, onboarding, cross-functional alignment.
  6. City of Arkhangelsk Administrationinfrastructure

    1 year 11 months
    Lead Engineer·Arkhangelsk

    [January 2002 — November 2003]

    • Designed and supported LAN networks for administrative departments.
    • Worked with internal units to deploy IT solutions.
    • Technical support and infrastructure problem-solving under strict regulations.
03./stack

Tech Stack

AI / ML & Agents12
AIAgentsRAGLangChainLangGraphLangFuseQdrantpgvectorPaddleOCROpenCVvLLMNVIDIA Container Toolkit
Languages & Runtime06
PythonGolangBashAsyncioFastAPIn8n
DevOps & Infra10
DevOpsLinuxDockerKubernetesAnsibleNginxGitPrometheusGrafanaCI/CD
Data & Storage05
PostgreSQLMariaDBMSSQLFirebirdSQLite
$ languages
Russian·NativeEnglish·B2 — Upper-Intermediate
04./work

Commercial Projects

Client case studies — shipped production work with measurable business outcomes

project_01·2 screenshots

/ Enterprise RAG for engineering documentation

Intelligent search across large-scale technical documentation (PDFs, scans, photos, tables)

Build intelligent search across a large corpus of technical documentation — PDFs, photos, scans, tables and documents in many formats.

Solution

  • Designed and shipped an Enterprise RAG platform with sophisticated document parsing.

Implemented

  • semantic document chunking
  • Parent / Child retrieval
  • scalable OCR pipeline
  • GPU inference
  • asynchronous document processing
  • auto-scaling OCR workers
Business result
  • natural-language search across technical documentation
  • operates on tens of thousands of documentation pages
  • drastically reduces manual information lookup for engineers
  • architecture fit for industrial workloads and scaling
Stack
PaddleOCRTable TransformerLayoutLMpdfplumberopenpyxlpython-docxLlamaIndexpgvectorNATS JetStream
project_02·2 screenshots

/ Bastiondom

AI-driven lead-generation platform for a country-house developer

AI Infrastructure

  • Smart Telegram bot powered by large language models
  • Natural-language dialogues with prospects
  • Lead qualification and interactive quizzes

Referral System

  • Two-tier referral program inside the bot
  • Built to scale viral traffic

Growth Hacking

  • Drop-domain scheme: custom redirect architecture on high-traffic drop domains
Business result
  • Drop-domain scheme + AI lead processing lifted the weekly qualified-lead flow from dozens to thousands
Stack
LLMTelegram Bot APIDrop-domain redirectsReferral mechanics
project_03·2 screenshots

/ Teonaperfume.ru

Premium niche-perfume e-commerce — technically optimized

Visit site

A high-performance premium-segment e-commerce project with a deep focus on technical optimization and virality. Minimal luxury design paired with extremely fast page loads.

Tech & Features

  • Custom seamless i18n
  • Dynamic React Router for instant catalog navigation without page reloads
  • Dynamic QR codes per product for instant sharing

SEO Architecture

  • Dedicated SEO layer for product cards
  • Outranked competitors in SERP via structured data and semantics
Business result
  • Organic lead flow tripled vs. the first version
  • Site paid itself back in week one post-launch from new organic sales alone
Stack
ReactDynamic Routingi18nDynamic QR-codesSEO schemasCore Web Vitals
project_04·2 screenshots

/ Teambelki.ru

Interactive multi-landing for an event agency

Visit site

A heavy-media platform built to differentiate the brand in the corporate-events market from its competitors.

Tech & Features

  • Ultra-fast heavy-content loading via mobile-first + wow animations
  • Lightweight PocketBase backend & admin panel — client manages content without server bloat

Bypass Restrictions

  • Custom video player & streaming through Rutube, fully isolated from external throttling and access restrictions

AI Optimization

  • Content & metadata tuned for the new Google AI-search algorithms (SGE / Gemini Search)
  • Dominance in next-gen search results
Business result
  • Platform differentiates the brand from competitors in the corporate-events segment
  • Loading speed and SEO layer for Google AI search yield durable competitive advantage
Stack
Mobile-FirstPocketBaseCustom Rutube playerSGE / Gemini SEO
project_05·2 screenshots

/ Dvevilochki.ru

Premium catering landing

Visit site

A case study in how a product approach + modern tech can rescue marketing even when there are no quality source materials from the client. The final visual looks premium and makes the food sing.

Tech & Features

  • Full mobile-first UI with a strong focus on visual content
  • Main problem — low-res, poor-quality dish photos from the client — solved at the production stage

AI Generation

  • Generative AI applied for deep restyling, food design and image upscale
  • Menu photos reworked to restaurant-grade quality
Business result
  • The premium visuals turned the site into a powerful sales tool that earns trust from second zero
Stack
Mobile-FirstGenerative AIImage upscaleFood design pipeline
07./recognition

Achievements

achievement

Silver medalist — Programming Olympiad

Verified academic track record in Computer Science.

achievement

Author and speaker on AI and technology

Regular subject-matter expert in federal media (incl. IA Rosbalt, 8M unique monthly visitors) on AI tech and IT infrastructure.

achievement

Workshops on communication & chaos management

Runs practical workshops on team communications and leading under chaos.

education
[2002]Northern (Arctic) Federal University named after M.V. Lomonosov

Institute of Information and Space Technologies, Computer-Aided Design Systems

Higher education

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