Sergey Zhitansky
AI Solutions Architect · Solo Founder

I build AI products, custom models, and business integrations.

From specialized neural networks to complete software products, I connect machine learning with practical engineering. I’m the owner and solo developer of Scovant, and I work directly with clients to design, build, and integrate AI systems.

25+ years in software · Kaggle Competitions Master · Owner & Solo Developer of Scovant

Sergey Zhitansky, AI Solutions Architect

Selected work

Complete products and applied AI systems, with a clear account of my contribution.

AI Agent Readiness Platform

Scovant

I own and independently developed Scovant, a platform for testing how websites work with AI agents. It brings together technical compatibility checks, agent task testing, and ongoing monitoring to help teams identify issues and assess readiness using different levels of evidence.

My role: Owner & Solo Developer.

Scovant interface for assessing website compatibility with AI agents
Scovant — website compatibility and AI agent readiness assessment.
Business & Engineering Integrations

Connected AI Agents

I independently delivered AI integrations connecting company databases, knowledge bases, Jira, GitHub, and AWS. Across these implementations, agents analyze infrastructure and fix bottlenecks, assess the value and complexity of proposed features, audit security, and identify opportunities to strengthen a company’s products.

My role: Sole developer.

Selected capabilities across several client implementations.

Enterprise Translation & Document Processing

Linguist

Within a team-built platform, I independently developed the entire translation core: neural models, language-specific preprocessing, postprocessing, and document-format handling. My work spans recurrent and Transformer-based translation systems, connecting model development with enterprise document workflows across 64 translation directions.

My role: Sole developer of the translation core within a team-built platform.

How I can help

Start with the outcome you need. I’ll help define the scope and the work required to get there.

Build a complete product

Turn an idea into a working software product or internal platform. I handle architecture, development, integrations, testing, deployment, and handover within an agreed scope.

A working product, with source code and documentation.

Discuss a product

Build AI systems and integrations

Connect AI to your data and workflows, or develop a specialized model for your task. I work on machine translation, computer vision, classification, and connected agents—from data preparation and evaluation to integration with your existing systems.

An evaluated AI system integrated into your workflow.

Discuss an AI system

Plan your AI adoption

Identify useful opportunities, assess feasibility and implementation complexity, and define a practical roadmap. I have introduced AI-assisted development into a working engineering team, so the plan covers people and process, not only tools.

Prioritized opportunities and a practical implementation plan.

Discuss AI adoption

From first conversation to working software

  1. 01

    Understand

    We clarify your goals, current systems, and constraints.

  2. 02

    Define

    We agree on the solution, scope, and acceptance criteria.

  3. 03

    Build

    I develop, test, and integrate the solution, with agreed review points.

  4. 04

    Launch & hand over

    I deploy and document the solution. We agree separately on any ongoing support.

The person behind the work

Selected leadership experience
  • FounderRational SystemsA five-person team over five years building custom neural networks for healthcare, translation, retail, and security monitoring.
  • Head of AI TeamTRANSFOTECHA ten-person team over three years building a retail analytics platform: unique-visitor counting and movement tracking based on appearance-based person re-identification.
  • VP R&D, Machine Learning SolutionsSpilna SpravaTeams of up to 20 people over fifteen years delivering CRM systems, business portals, and turnkey cloud solutions.

I’m Sergey Zhitansky, an AI Solutions Architect with 25+ years in software and technology. My background combines software architecture, cloud infrastructure, applied machine learning, and AI consulting.

My work combines product ownership with hands-on machine learning. I have developed and adapted neural models for translation, image classification, segmentation, and speech tasks, alongside complete software products and business integrations. AI-assisted development helps me accelerate delivery while retaining responsibility for architecture, evaluation, and engineering quality.

I have led engineering teams of up to 20 people on multi-year platforms. Most recently I introduced AI-assisted development across a product team: automated review of every change, shared guidance for people and AI, and a common command library. Development time per ticket fell by about two thirds within four months.

I’m a Kaggle Competitions Master with nearly 100 competitions and 18 medals. The challenges span medical imaging, finance, retail, industry, energy, education, and scientific data. This breadth helps me understand unfamiliar domains, identify useful signals, and evaluate what works.

What would you like to build or improve?

Tell me about your goal, or book an introductory meeting to discuss your project and possible next steps.