Nurseiit Zhuzbay

@Nurseiit14

ML/AI Engineer | LLM Agents · RAG · CrewAI | Building real-world AI systems

CS student at AITU with hands-on experience building ML systems, LLM agents, RAG pipelines, and real-world AI applications using Python and LangChain.

Open to

Learning with othersFinding a mentorJoining pet projectsStartup collaboration

Career

Experience: 2 years

Experience

Backend Developer Intern

Department of Economic Investigations of Mangystau Region

Regional law-enforcement agency focused on economic investigations.

Jun 2026 — Jul 2026

Built and deployed the backend for an oil-sector monitoring system covering 59 companies, including access controls, anomaly alerts, and email notifications.

• Developed the backend of Smart Oil Security, a monitoring system for 59 oil-producing companies in Mangystau Region, designed to detect signs of illegal activity for law enforcement investigators. • Implemented a REST API with JWT authentication and role-based access control (Admin / Investigator / Inspector); built CRUD endpoints for companies, alerts, and user management. • Integrated an ML anomaly detection service: automatic alert generation when the risk score exceeds 60%, with SMTP email notifications to investigators.

Education

BSc, Computer Science

Astana IT University

2024 — 2027

Academic Exchange Program Student, Computer Science and Technology

Beijing Institute of Technology

2025 — 2026

Selected projects

Fraud Detection System

At Beijing Institute of Technology, trained a classification model on the Kaggle credit card dataset (284,807 records; 0.17% fraud rate), achieving F1-score 0.908, ROC-AUC 0.995, and recall 0.978, with 11 missed frauds out of 492 in the test set. Built a conversational fraud-analysis layer using LangGraph and LLMs (OpenAI / Qwen / Ollama) to interpret free-text transaction descriptions and expl...

Multi-Agent Investment Analysis System

At Beijing Institute of Technology, designed a six-agent CrewAI pipeline for end-to-end automated stock-ticker analysis, with Data Collector, Technical Analyst, Fundamental Analyst, Risk Manager, Report Writer, and Evaluator agents. Integrated RAG with vector stores and knowledge graphs for contextual data, and added native MCP integration for backend resource mapping. Delivered a Flask dashboa...

Backend System for Data-Driven Application

At Astana IT University, designed and developed a backend system to process, store, and serve structured user data through RESTful APIs. Implemented Python server-side logic for request handling, input validation, basic authentication, and business logic. Designed a relational database schema and complex SQL queries, including joins, aggregations, and window functions; structured the applicatio...

Artificial Intelligence Project (Machine Learning Application)

At Beijing Institute of Technology, developed a machine-learning solution for a classification or regression task using real-world or structured datasets. Performed data cleaning, normalization, feature engineering, and train/validation/test splitting; trained models using PyTorch or scikit-learn; evaluated accuracy, precision, recall, and F1-score; and conducted hyperparameter tuning. Analyzed...

Skills

Supervised learning (classification, regression)CNNTransfer learningModel evaluationCross-validationHyperparameter tuningOverfitting mitigationPyTorchscikit-learnNumPypandasLangChainLangGraphCrewAIRAGMCPPythonC++SQLObject-oriented programming