AI/ML Engineer
I'm Orkhan Nuriyev, an applied AI builder in Baku. My work connects Python, machine learning, local AI models, and product thinking — from ETL pipelines to deployed prediction and assistant workflows.
Machine Learning Platform
End-to-end ML-based soil moisture prediction system for multiple regions in Azerbaijan, using weather data pipelines and region-specific XGBoost models.
Local AI Assistant
Private code-explanation chatbot for developers and students. Runs locally with Ollama, supports multi-turn follow-ups, and uses guardrails for prompt-injection and scope-filtering.
Python, SQL, machine learning, supervised and unsupervised learning, reinforcement learning, scikit-learn, XGBoost, statistics, Pandas, NumPy, SciPy, Matplotlib, and Seaborn.
LLMs, VLMs, RAG, FAISS, AI agents, multi-agent orchestration, PyTorch, Transformers, Ollama, llama.cpp, Hugging Face Hub, Speech-to-Text, Text-to-Speech, and speech processing.
Computer vision, neural networks, CNNs, object detection, YOLOv8, ONNX, image processing, U-Net, deep learning, model evaluation, and model optimization.
REST APIs, FastAPI, WebSockets, PostgreSQL, MySQL, DuckDB, ChromaDB, and SQLAlchemy (ORM).
Power Query, process documentation, workflow analysis, financial statement analysis, Excel, and Power BI.
Git, GitHub, GitHub Actions, Docker, Postman, VS Code, n8n, Jupyter Notebook, Google Colab, GitHub Copilot, Claude Code, OpenAI Codex, Cursor, and Antigravity.
Prepared financial and operational reports in Microsoft Excel and Google Sheets, analyzed financial data, monitored cash flow, reviewed contracts, validated records, and supported reporting and business operations.
Collected, cleaned, and analyzed operational data; maintained project tracking dashboards and workflow reports; and coordinated nationwide distribution of 20,000+ Coursera licenses through the 4SI Academy program.
Managed organizational datasets in AIESEC’s EXPA platform and Microsoft Excel, monitored dashboards and KPIs, analyzed operational data for reporting, and improved data validation and record-keeping workflows.
Collected and processed customer and leasing application data, reviewed customer documents, verified application details, and performed data quality checks to support leasing operations.
Sep 2023 – Present
Azerbaijan State University of Economics. Specialization: Business Analytics.
Feb 2026 – Present
IronHack, IDDA. Machine learning, deep learning, LLMs, RAG, FastAPI, DuckDB.
Apr 2026 – Present
AI Academy. Linear algebra, calculus, statistics, and probability for AI; software engineering, Python automation, API integration, machine learning and deep learning, including Transformers, LLMs, and CNNs.
Sep 2025 – Dec 2025
Oracle University, StrategEast, IDDA. SQL, Excel, Power BI, Python data analysis.
Featured certification
Oracle Cloud Infrastructure 2025 Certified Data Science Professional Oracle University credential focused on OCI data science workflows and professional-level applied data science knowledge.