Olzhas Alseitov

Software Development Team Lead, AI Department

AO “National Information Technologies” (NITEC)

National operator of Kazakhstan's e-government infrastructure

Leads application software and DBMS delivery for a national sovereign AI platform; also delivered security testing and production RAG/LLM systems.

• National AI Platform (GovTech): own end-to-end development of the platform's application software (ППО) and DBMS layers for a secure sovereign LLM stack serving e-gov services; personally defended the system through audits. • STS security attestation: led the platform through State Technical Service (ГТС) information-security testing, covering secure source-code analysis, security-function testing, and secure production-deployment requirements per the Law “On Informatization”.

AI/ML Team Lead

qCloudy

AWS Partner

Led AI/ML delivery and AWS competency work; agricultural inspection projects increased annual coverage fourfold and cut processing time to 2–3 weeks.

• AWS GenAI Competency: led the company's Generative AI Competency program end-to-end and personally defended the AWS audit, which passed; also contributed to building and passing the ML Competency. • KazAgroFinance (3 projects, lead): delivered CV equipment classification, an OCR document pipeline on AWS, and video analytics for agricultural machinery inspection; grew annual inspection coverage 400% (5,000 → 21,000 units) and cut processing time from 3 months to 2–3 weeks.

Open-Source Contributor

OpenSearch (Amazon)

Amazon's open-source search and analytics project.

Fixed an AWS-integration bug in the OpenSearch notification dashboard; the contribution was merged upstream.

• Diagnosed and fixed an AWS-integration bug in the OpenSearch notification dashboard caused by malformed frontend request payloads; contribution merged upstream.

Backend Developer

iSate

Built backend retry and data-ingestion services and contributed customer feedback and support improvements to the release process.

• Designed a microservice for guaranteed re-delivery of failed requests (scheduled retries, DB-backed state), containerized with Docker and monitored via Splunk; built an XML→JSON parser for Splunk ingestion. • Ran customer demos and drove product and tech-support improvements adopted into the release process.

Junior ML Engineer / Researcher

Eurasian National University

Built an electronic-nose classification pipeline for gases and petroleum-product vapors, achieving over 98% pattern-recognition accuracy.

• Electronic Nose: built the end-to-end ML pipeline (Decision Trees, KNN) for classifying harmful gases and petroleum-product vapors; over 98% pattern-recognition accuracy, published at an international conference.

PhD, AI Engineering

Astana IT University

MSc, Cybersecurity

Eurasian National University

BSc, Cryptography

Eurasian National University