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Yernar Akhmetbek

Connected with DSML. This person's Telegram account has been confirmed through DSML Kazakhstan.

@Yernar04

ML engineer, AI engineer, Research Assistant

Open to opportunities
AI engineering
ML engineering.

ML engineer with production experience in LLM and RAG systems. PhD candidate and lecturer at SDU with four publications in deep RL and vehicle routing. Python, PyTorch, AI engineering.

AlmatySuleyman Demirel University
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Career

Experience, skills, projects, and achievements.

Open to opportunitiesExperience: 5 years

ML engineer, AI engineer, Research Assistant

Skills

AI engineeringML engineering.

Experience

Machine learning engineer

AKK company

Jun 2026 — Present

Built an OCR + LLM pipeline that extracts scoring features from scanned RU/KZ loan documents (bank statements, financial reports, land acts, crop-yield certificates), reaching 97.3% field-level accuracy on a hand-verified ground truth of 3,000+ values. Developed an LLM agent that routes corporate correspondence to the responsible executive with 87–91% accuracy (two-stage design, +25 pts over a single-prompt baseline); migrated it to an on-prem model with 82.8% accuracy for data-residency compliance Shipped both systems to production as FastAPI microservices (Docker, CI/CD to Kubernetes), with

Machine learning engineer

ZenMoney

Jun 2025 — Jul 2026

Designed and implemented a financial RAG chatbot for ZenMoney clients, boosting answer accuracy by 27% through improvements to the retrieval pipeline, prompt engineering, and knowledge base structuring of user transaction and financial data.

AI lab head

SDU University

Aug 2025 — May 2026

Leading students and developing several AI agents, building chatbot.(https://chat.sdu.edu.kz/)

Education

BSc Computer Science

SDU university

2018 — 2022

Learned mostly software engineering. Fundamentals of programming(OOP and so on), Databases, backend programming, frontend programming, Android development, project management, Software engineering(MVVM, MVC, Solid programming and etc.)

MSc Computer Science

SDU university

2022 — 2024

Learned Data analysis, Machine Learning, Deep learning, HPC, NLP, CV. Conducted research on topic Vehicle routing problem solving via DRL.

Phd Computer Science

SDU University

2024 — 2027

Focusing on Autonomous mobile robot navigation solving via DRL, VLM, VLA. Have several publishments on top journals.