Bakhtiyor Sulaymonov
ML Engineer | LLMs | NLP | AI integration · Tashkent, Uzbekistan
ML Engineer specializing in NLP and production ML deployment. I combine 6+ years of software engineering experience with hands-on expertise in fine-tuning transformer models, building RAG systems, and creating automated data pipelines.
Transitioned from software development to AI/ML engineering, bringing strong software expertise to machine learning applications. I focus on deploying robust, scalable solutions that bridge the gap between research and production.
Passionate about continuous learning, clean code, and solving real-world problems with AI.
bakhti.ai.uz@gmail.com · LinkedIn · GitHub
Skills
Languages: Python, SQL, JavaScript
ML/AI: PyTorch, CUDA, Hugging Face (Transformers, Datasets), Pandas, NumPy, Azure OpenAI, RAG, Vector DBs, Prompt Engineering, NLP, LLMs
Tools & Frameworks: FastAPI, Selenium, Git, Linux, Bash, pytest, uv, ruff, Vue, React, Nuxt.js
Recent Projects (AI/ML)
Production NLP Text Classification System
Fine-tuned and deployed a RoBERTa-based text classification model for production use at a government agency. Conducted comparative analysis of transformer architectures, generated synthetic training data using LLMs, and built a complete document processing pipeline.
PyTorch, CUDA, Hugging Face, FastAPI
RAG-Based AI Chatbot System
Deployed a Retrieval-Augmented Generation chatbot integrated with official government Telegram bot using Azure OpenAI. Designed vector database architecture, engineered system prompts with guardrails, and built monitoring infrastructure.
Azure OpenAI, Vector Database, Telegram Bot API, Python
Automated Data Collection Pipeline
Built automated web scraping system for a conversational dataset collection from social media platforms. Implemented robust error handling, automated as weekly cron job, and built data preprocessing pipeline.
Python, Selenium, Bash, Linux, Chrome
Parallel Translation Dataset
Created parallel dataset for machine translation tasks by processing and aligning multilingual data from public sources. Implemented alignment algorithms, data cleaning, and quality filtering pipelines.
Python, Pandas, Hugging Face Datasets, NumPy
Experience
AI/ML Software Engineer
Ministry of Justice, Tashkent
January 2025 – January 2026
Software Engineer
Vention, Remote
February 2022 – February 2024
Software Engineer / Team Leader
DataPrizma, Tashkent
February 2019 – January 2022
Frontend Developer
SAB Games, Tashkent
October 2018 – February 2019
Education
Politecnico di Torino, Italy
B.Sc. Computer Engineering (2013 – 2018)
Focus area on Computer architecture, Databases, Networking, OOP, Algorithms