Public profile

Nooruzbek Toktobaev

@NooruzbekT

ML Engineer | LLM, NLP, RAG | Production experience

Open to opportunities
Python
NLP
LLM

Software engineering student with hands-on ML and NLP experience. Worked with transformer models, embeddings, and distillation in production at a real bank.

Алматы, КазахстанInternational Information Technologies University
GitHub

About

Currently building LLM-powered agents and RAG pipelines. Interested in expanding into generative and multimodal AI research.

How I can help

Can contribute practical experience in NLP, LLM agents, RAG pipelines and production model deployment. Have worked with major LLM APIs and self-hosted open-source models in real-world projects.

Looking to connect

Looking for mentors or like-minded people in LLM/AI Engineering, want to learn more about diffusion models and multimodal AI, and open to interesting job opportunities in the field.

Career

Experience, skills, projects, and achievements.

Open to opportunitiesExperience: 2 years

ML Engineer | LLM, NLP, RAG | Production experience

Skills

PythonNLPLLMRAGFastAPIPyTorchDocker

Selected projects

AI Business Analyst Backend (ForteBank Hackathon)

Built a conversational LLM assistant during ForteBank Hackathon that turns business analyst interviews into structured documents (BRD, bug reports) via REST and WebSocket. LLM generates Mermaid diagrams rendered to PNG, documents auto-published to Confluence.

Open project

Experience

Backend Developer

NBT Studio

Feb 2025 — May 2025

Designed REST APIs and database schemas using FastAPI, Django and PostgreSQL. Implemented RBAC authentication.

NLP Engineer Intern

Bank CenterCredit

Jun 2025 — Aug 2025

Fine-tuned XLM-R and e5-base for multilingual text classification. Built NER pipelines for financial document extraction. Applied distillation and ONNX quantization for production deployment.

Backend and ML Developer

NBT Studio

Sep 2025 — Nov 2025

Built AI-powered Telegram agents using LLMs and embedding pipelines via OpenRouter and Groq. Deployed local Qwen model on VPS for self-hosted inference.

ML Engineer / Software Developer

BA-12

Mar 2026 — Present

Built production SaaS platform for medical clinic KPI management. Designed AI Actions engine with LLM integration and multi-agent pipeline for strategy generation. FastAPI, PostgreSQL, Docker, React. Real users in production.

Education

BSc Software Engineerin

IITU

2023 — 2027

Machine Learning, Artificial Intelligence, Algorithms and Data Structures, Database Design & SQL