Azerbaijan State Oil and Industry University (ASOIU)
B.Sc. in Computer Engineering
Focusing on computer architecture, machine learning fundamentals, algorithm design, and software engineering principles.
Building intelligent systems, multi-agent architectures, and production-ready RAG pipelines.
// about
I am an AI Engineer focused on bridging the gap between cutting-edge LLMs and production-ready software systems. My core expertise centers around Retrieval-Augmented Generation (RAG), multi-agent workflows, vector search pipelines, and practical AI integrations.
I leverage modern Python frameworks, vector databases, and containerized architectures to deploy fast, reliable, and scalable intelligent solutions tailored to complex domain problems.
// education
Formal and intensive training behind the engineering practice.
B.Sc. in Computer Engineering
Focusing on computer architecture, machine learning fundamentals, algorithm design, and software engineering principles.
AI Engineering Professional Diploma
Specialized hands-on program covering LLM architectures, RAG systems, multi-agent workflows, and end-to-end AI application engineering.
View Diploma// projects
Systems built with intent, from retrieval pipelines to production services.
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An AI-powered search system designed to retrieve movies, games, books, or media from vague, partial memory fragments (e.g., 'twelve people voting in one room') using vector search and confidence scoring.
An AI travel orchestrator powered by 4 specialized agents (Interest, Budget, Logistics, Planner) that negotiate in real-time via Server-Sent Events (SSE) to generate optimized itineraries with interactive map visualization.
An AI-powered multi-agent platform that estimates international education costs, discovers scholarship opportunities, and builds personalized study budgets grounded in verified, cited sources.
An end-to-end multi-output Machine Learning pipeline predicting customer policy choices across 7 distinct components simultaneously, featuring behavioral feature engineering and gradient boosting achieving 92.53% accuracy.
A lightweight developer CLI tool that inspects local git diffs to automatically generate structured Conventional Commit messages and release notes using LLM automation.
A lightweight, Raycast-inspired Windows search overlay triggered by a global hotkey (Alt + Space). Supports multi-provider AI streaming across OpenAI, Gemini, and local Ollama models.
// capabilities
The core competencies I engineer around when building intelligent products.
Designing context-aware retrieval architectures with advanced chunking, metadata filtering, and embedding optimization.
Building autonomous agent graphs with custom tool usage, shared state management, and reliable decision routing.
Packaging LLM workflows into containerized REST APIs with streaming endpoints and async task execution.
Developing responsive local desktop utilities and CLI agents with GUI integrations for seamless workflow automation.
// contact
Have a project in mind, or want to talk about RAG, multi-agent systems, or backend architecture? Reach out.