AI · Software Engineering · Technology Partnerships

Software, AI and cloud for the devices you build

I'm Vladimir Pavlunin — a technology and software development leader with 20+ years in IT, architecture and engineering management. I help manufacturers and product teams turn hardware into complete products: mobile apps, device SDKs, AI features, cloud services — and a launch on the Russian market.

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20+ years in IT, software architecture and engineering management
End-to-end from requirements and architecture to release, support and growth
AI in production speech, translation, LLMs and agents in real workflows, not demos

What I work on

Seven directions, one engineering approach

Each direction is backed by architecture, delivery practice and AI tooling I use every day.

01 Enterprise Software Engineering Architecture, engineering management and delivery of business-critical systems.

Architecture and technical due diligence
Engineering process and delivery
Legacy modernization

02 Artificial Intelligence & LLM Integration LLMs, speech and agents built into products and engineering processes — with security and measurable results.

LLM integration and RAG
AI agents
Private and on-premise AI

03 Mobile Applications iOS and Android companion apps for devices and services, from first prototype to app stores.

Companion apps for devices
BLE and device protocols
Subscriptions and accounts

04 IoT & Smart Devices Software around connected devices — firmware APIs, connectivity, cloud and data.

Device–app–cloud architecture
OTA updates and telemetry
Smart home integrations

05 Cloud Platforms & API Backends, public APIs and platforms that scale with the number of devices and users.

API design and API gateway
Cloud and on-premise deployment
Monitoring and security

06 OEM/ODM Technology Partnerships The software and AI layer for manufacturers' devices — joint development, white-label and localization.

Joint product development
White-label software
Russian market localization

07 Digital Product Development Turning an idea into a working product with a clear scope, a release plan and a team process.

Product discovery and MVP
Release planning
AI-assisted development team

Experience

20+ years of building software and leading engineering

My background is architecture and engineering management: designing systems, building teams and processes, and bringing products to production. Over the last years my focus has been AI in the whole development cycle — from requirements to code, testing and delivery.

Architecture

System and integration architecture, platform engineering, technical decisions that survive growth.
Engineering management

Delivery process, quality, metrics and teams that ship predictably.
Applied AI

I run my own production pipelines with local speech recognition, speech synthesis and LLM agents — so I know where AI works and where it breaks.
Security by design

Data protection, access policies for AI agents, private and on-premise deployment when data must stay inside.

How cooperation starts

From the first call to a working product

The format and the commercial model are agreed for each project — nothing is fixed in advance.

01
Introduction

A call in English or Russian. You tell me about the device, the product and the market; NDA if needed.
02
Technical discovery

SDK, firmware interfaces, protocols, cloud and the scope of work — what exists and what has to be built.
03
Proposal

Architecture, stages, timeline and the cooperation model that fits — fixed-price stages, a long-term contract or shared revenue.
04
Prototype and development

A working prototype first, then development in short stages with regular demos.
05
Launch and growth

Release, localization, support and new features — including the Russian market.

Next step

Building a device that needs software, AI or a market?

Tell me about your product and the kind of cooperation you are considering. I reply personally.

Discuss cooperation Business card