Dauletuly Aidyn avatar

My name is Dauletuly Aidyn

Building intelligent AI agents and production ML systems

Key Skills
AI Agents & MCP LLM Pipelines RAG Systems Prompt Engineering Machine Learning Python / .NET

Learn More

I am:
AI Agent Engineer
ML Researcher
Lecturer
Dauletuly Aidyn

My Story

About Me

I'm Dauletuly Aidyn — an AI Agent Engineer, ML Researcher, and Lecturer with 17+ years of experience building intelligent systems. I design LLM-powered agents, MCP-based tool workflows, and RAG pipelines for production environments. Currently a PhD candidate at Satbayev University (KazNITU), combining machine learning with genetic analysis for personalized cardiovascular therapy.

I build end-to-end AI agent systems and ML products: from LLM orchestration and prompt engineering to data extraction pipelines and production APIs. Recent work includes an LLM-agent-driven Islamic finance screening platform (SEC filings + LSEG/Refinitiv data) and ML analysis of genomic and single-cell data for biomarker discovery in cardiovascular disease.

Languages

Kazakh

Speaking
Writing
Listening
Reading
Academic

Russian

Speaking
Writing
Listening
Reading
Academic

English

Speaking
Writing
Listening
Reading
Academic

Highlights

Math Olympiad Winner

International, national & regional math olympiad prizes. KBTU olympiad grant recipient.

Research Grant PI

Principal Investigator of «Zhas Galym» grant: somatic mutations from single-cell RNA using ML methods.

Published Researcher

Published in Frontiers in Cardiovascular Medicine (Scopus) and KBTU Bulletin. DOI-indexed research.

Academic Leadership

Deputy Dean at KBTU, Deputy Director at Satbayev University, Department Director at QazIIM.

Technical skills

Technical Skills

Development

• .NET / .NET Core (ASP.NET Core, WPF, Windows Forms)

• HTML/CSS, JavaScript (jQuery), PHP, Go

• Python web: Django, Flask

• MySQL, PostgreSQL, MSSQL

• Entity Framework, REST APIs

AI Agents & LLM Engineering

• AI agent design: skills, tool use, technical specs

• MCP server & tool development, agent workflows

• Local RAG pipelines (retrieval + generation)

• Prompt engineering, evaluation & optimization

• LLM integration with structured data (SEC filings, financial reports)

• End-to-end ML: data prep, modeling, evaluation, deployment

• Python, R (ML/analytics)

Bioinformatics

• Genomic and transcriptomic data analysis

• Single-cell RNA-seq analysis (scRNA-seq)

• ML for cardiovascular and peripheral artery disease

• ML for kidney transplantation outcomes

• ML for diabetes research

Tools & Technologies

• Linux (Ubuntu desktop/server), Windows

• Git, Postman, WinSCP, PuTTY

• XAMPP, DBeaver

• LSEG (Refinitiv) platform

• SEC/EDGAR data extraction

Projects

Projects

Portfolio

CV Profile Website

Built and maintain a multilingual personal CV website with project pages, articles, and downloadable resume materials.

github.com/dauletulyaidyn/cv-profile

CV Profile Website preview
Computer Vision

Mini Super Camera

Computer vision project focused on camera-based image enhancement and practical experimentation with visual processing workflows.

github.com/dauletulyaidyn/mini-super-camera

Mini Super Camera preview
AI & Finance

Shariah AI Stock Screener

Built an end-to-end screening service: SEC filings extraction, HTML/text optimization for model input, an ML/LLM pipeline for halal/haram compliance classification, and a REST API for real-time results.

Bioinformatics

ML for Medical Research

Developed ML models and analysis pipelines for medical research: genetic deviations in cardiovascular patients, kidney transplantation outcomes, and diabetes in the context of peripheral artery disease. Focus: biomarker discovery and clinically meaningful interpretation.

Education

TJB.kz Exam Platform

Designed and implemented the back-end for a private school exam platform with a focus on reliability, scalability, and clean integration for future modules.

Mobile

Pyvela Mobile App

Developed the PHP back-end for a mobile app, including data processing logic, API endpoints, and integration with the application UI.

Automation

Auto Calling System

Built an automated calling system for a private school using .NET Core to streamline communication workflows and reduce manual effort.

LLMs & Finance

Ailat AI Screening

Led a year-long automation project for Islamic financial screening: SEC/EDGAR extraction, report optimization for LLMs, prompt design, JSON structuring of company revenues/activities, and integration with LSEG (Refinitiv) data. Delivered an API with admin panel and user profiles for real-time access.

Publications

Latest Advances in Endothelial Progenitor Cell-Derived Extracellular Vesicles Translation to the Clinic

Frontiers in Cardiovascular Medicine — October 4, 2021

DOI: 10.3389/fcvm.2021.734562

Review of Tools, Methodologies and Methods for Processing, Preprocessing and Cluster Analysis of Genetic Data

KBTU Bulletin — Vol. 21, No. 4 (2024)

DOI: 10.55452/1998-6688-2024-21-4-45-57

View All Education & Publications

Applied AI agents course — enrollment is open

First session: March 9, 2026. Group schedule — on the course page.

Enrollment via email. All details on the course page.

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The course is running. Enrollment is still open.

Site Pages

Direct links to the main profile, course, project, FAQ, and study pages of JustAidyn and JustAidyn Courses.

Contact

Contact Me

Connect Available

Open to AI agent engineering, research collaborations, ML roles, and consulting

Write to Me

Email me at aidyn.daulet@gmail.com. For the fastest response, write your proposal directly in the email body (plain text preferred). Include "CV-Portfolio" in the subject line.

  1. Subject must include "CV-Portfolio"
  2. Offer title
  3. Offer description (project, job, research collaboration, etc.)
  4. Compensation (salary, share, or special terms)
  5. Timeline / срок (period of work or project duration)

Note: plain-text proposals receive the fastest response. My inbox is pre-screened by an AI assistant for efficiency.

DAULETULY AIDYN

AI Agent Engineer | ML Researcher | Lecturer

aidyn.daulet@gmail.com · +7 776 988 9889 · Kazakhstan

Summary

AI Agent Engineer with 17+ years of experience building intelligent systems. Designing LLM-powered agents, MCP-based tool workflows, and RAG pipelines for production. PhD candidate at Satbayev University combining ML with genetic analysis for personalized cardiovascular therapy. Published in Frontiers in Cardiovascular Medicine (Scopus). Principal Investigator of «Zhas Galym» research grant.

Experience

Prompt Engineer
TOO Ailat — "Ailat AI Screening"

Led automation of Islamic financial screening using LLMs: SEC/EDGAR extraction, report optimization, prompt design, LSEG (Refinitiv) integration, API with admin panel and user profiles.

Researcher & Department Director
QazIIM — "System biology and ICT"

Genetic analyses and ML experiments; organized research workflows and introduced ICT tools for bio-data analysis.

Deputy Director & Senior Lecturer
Satbayev University (KazNITU) — Institute of Distance Education

Teaching IT disciplines; PI of «Zhas Galym» grant on somatic mutations from single-cell RNA using ML (full pipeline from genetic preprocessing to ML analysis).

Senior Lecturer
International IT University
Deputy Dean & Lecturer
KBTU — Kazakhstan-British Technical University

Organized academic process; taught IT disciplines; mentored students in applied projects.

Math Olympiad Coach
Lyceum No. 173

Education

PhD (in progress) — Machine Learning & Data Science
Satbayev University (KazNITU)

Thesis: Personalized cell therapy for cardiovascular disease based on ML and genetic analysis.

MSc, Information Systems · GPA 3.52/4
KBTU — Kazakhstan-British Technical University
BSc, Information Systems · GPA 3.33/4
KBTU — Kazakhstan-British Technical University
Math & Physics Lyceum No. 173

Prize winner: international, national & regional math olympiads. KBTU olympiad grant.

Technical Skills

AI Agents & LLM Engineering

AI agent design, MCP tools, RAG pipelines, prompt engineering, LLM integration, end-to-end ML

Development

.NET Core (ASP.NET Core, WPF), Python (Django, Flask), PHP, Go, JS, MySQL, PostgreSQL, MSSQL, REST APIs

Bioinformatics

Genomic & transcriptomic analysis, scRNA-seq, ML for cardiovascular & peripheral artery disease

Tools

Linux, Git, Postman, DBeaver, LSEG (Refinitiv), SEC/EDGAR, Python, R

Key Projects

Ailat AI Screening — LLMs & Finance

Year-long Islamic financial screening automation: SEC/EDGAR extraction, LLM prompt pipeline, JSON structuring, LSEG integration, API with admin panel.

Shariah AI Stock Screener — AI & Finance

End-to-end screening service: SEC data extraction, HTML optimization for LLM input, ML/LLM classification pipeline, REST API.

ML for Medical Research — Bioinformatics

ML models for cardiovascular genetic deviations, kidney transplant outcomes, diabetes/PAD biomarker discovery.

TJB.kz Exam Platform — Education

Back-end for private school exam platform: reliability, scalability, clean integration.

Publications

Latest Advances in Endothelial Progenitor Cell-Derived Extracellular Vesicles Translation to the Clinic

Frontiers in Cardiovascular Medicine, Oct 2021 · DOI: 10.3389/fcvm.2021.734562

Review of Tools, Methodologies and Methods for Processing, Preprocessing and Cluster Analysis of Genetic Data

KBTU Bulletin, Vol. 21, No. 4 (2024) · DOI: 10.55452/1998-6688-2024-21-4-45-57

Languages

KazakhNative
RussianFluent
EnglishFluent