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dimash bekeshev2007

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

ML/AI Engineer

Привет! Я Димаш, студент AlmaU, изучаю Data Science. Каждый день совершенствую свои знания и навыки, чтобы стать профессиональным Data Scientist.

Open to

Learning with othersJoining pet projectsJoining competitions & hackathonsSpeaking & workshopsResearch collaboration

Career

Experience

Digital Marketing Specialist

EY Academy of Business Eurasia

Feb 2026 — Present

Create marketing materials, manage digital assets, maintain corporate branding, and optimize content workflows.

Intern Backend Developer

Agency of the Republic of Kazakhstan for Regulation and Development of the Financial Market (ARDFM)

Sep 2025 — Feb 2026

Education

BSc Data Science

Almau

2024 — 2027

Bachelor's student in Data Science. Studying machine learning, statistics, databases, software engineering, and data analysis. Building AI and machine learning projects using Python, FastAPI, Docker, and React.

Selected projects

Saga Platform

Built an AI-powered meal planning platform using a multi-agent architecture, RAG, computer vision, and MCP integration. Developed the backend with FastAPI and integrated AI workflows to analyze food images and generate shopping baskets automatically.

Open project

Car Class

Trained and deployed a CNN model for vehicle damage detection with 95% accuracy. Designed the end-to-end ML pipeline, including data preprocessing, model training, and REST API deployment using FastAPI.

Open project

AI Lawyer

Developed an AI legal assistant for Kazakhstan legislation using RAG and semantic search. Built a retrieval system that improves response accuracy by grounding answers in legal documents.

Open project

G_translater

Created an AI-powered book translation service that preserves context using a dynamic glossary. Automated large-scale translation workflows while maintaining translation quality and consistency.

Open project

DTC Central Asia

Developed and maintain a production e-commerce platform using Django, PostgreSQL, Docker, and MinIO. Implemented backend services, database architecture, and deployment infrastructure for a commercial website.

Open project