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Chief AI Officer (CAIO)Almaty, Kazakhstan

Konstantin Kolomeitsev

AI/LLM Architect and Applied AI Researcher

I help companies design and implement LLMs, AI agents, RAG, local models, and business-process automation: from the first audit and strategy to a working system.

Based in
Almaty, Kazakhstan
Current role
CAIO @ Sergek Development
Portrait of Konstantin Kolomeitsev
Konstantin Kolomeitsev
CAIO · AI/LLM Architect
AI/LLMResearchAutomation
Open to
  • AI implementation and AI audits for companies
  • CAIO-level advisory and AI strategy
  • Corporate AI training (delivered in Russian)
  • Research collaborations
Research · arXiv
LLM Modules — arXiv:2502.08213

A published study on transferring knowledge from a large model to a small one via Enhanced Cross-Attention.

Read on arXiv
Shipped product
Levitan — on-device voice input

A released app for Windows and macOS: speech recognition runs locally on a CPU, free.

Open Levitan
Own architectures
MPT-VC — neural video codec

An original architecture that beats Nvidia's Cosmos Tokenizer on UVG by average Y-PSNR.

See the work
02Capabilities

Architecture plus delivery, engineered for production

What I build and how I de-risk it.

LLM Architecture
Multi-agent systems & (Graph) RAG

Multi-agent pipelines, retrieval strategies, evaluation harnesses, guardrails, and privacy-by-design.

Business Impact
From process to ROI

Process mapping, an automation backlog, KPIs and ROI: shorter cycle time, lower OPEX, better conversion.

Evaluation
Quality you can measure

Regression testing for prompts and tools, observability, and cost/performance tuning at scale.

Governance
Responsible & compliant AI

Risk management, privacy, monitoring, bias mitigation, and clear accountability for production AI.

Local models
On-device and on-premise AI

Finetuning, quantization, and CPU inference: capable models that run on your hardware, without a cloud.

Advisory & DD
Strategy audits & due diligence

AI strategy audits, technical and product due diligence, integrations, and executive alignment.

03Research & Products

Published work, not slides

Papers, open weights, and shipped products that back every claim on this site.

arXiv · MIT
LLM Modules

Knowledge transfer from a large model to a small one, no distillation, trained for under $10.

Paper + DOI · Apache-2.0
MPT-VC

A neural video codec on original operators; beats Nvidia's Cosmos Tokenizer on UVG by average Y-PSNR.

Open weights · Apache-2.0
Qwen3.5-0.8B GEC

A typo, spelling, and punctuation corrector for Kazakh, Russian, and English that runs on a CPU.

Product · shipped
Levitan

On-device voice input for Windows and macOS: local, private, free.

04FAQ

Frequent questions

Who is Konstantin Kolomeitsev?

A Chief AI Officer (CAIO), AI/LLM architect, and applied AI researcher from Almaty, Kazakhstan. Founder of Loqira Labs, author of the LLM Modules study (arXiv:2502.08213) and shipped products, including the on-device voice input Levitan.

How can you help my business?

I assess where AI applies to your processes, then design and implement the systems: LLM assistants, RAG over company knowledge, AI agents, local models. I also run AI audits, consulting sessions, and corporate training.

Do you work with companies in Kazakhstan?

Yes. I live in Almaty and work with Kazakhstani companies on-site and online. Companies from other countries: online.

Do you run AI training?

Yes, corporate programs for executives, developers, and staff. Training is delivered in Russian.

Where can I see your research?

The Research page collects the work with papers, weights, and code: LLM Modules, MPT-VC, Context Merging, Qwen3.5 GEC. Profiles: arXiv, Hugging Face, GitHub.

How do I contact you?

Email libr@bk.ru is the fastest channel. LinkedIn works too. Cooperation formats are listed on the contact page.

Discuss your task

Write a couple of paragraphs about the process you want to automate. I will reply with what I can do and where to start.