Rasim — AI Engineer 🤖 About Me

I am an AI Engineer focused on building practical, scalable and production-ready AI systems.

My work sits at the intersection of:

Machine Learning & Deep Learning LLM-based applications Full-stack AI systems (backend + APIs + UI integration) Automation and intelligent workflows

I enjoy designing systems that move beyond experiments and work reliably in real-world environments.

Core Focus Areas Large Language Model (LLM) applications (agents, RAG systems, tool use) Backend AI systems with Python API design for AI services (FastAPI / Django / REST) Data pipelines and automation workflows AI-assisted product development System design for scalable AI applications Tech Stack Programming Languages

AI / ML / Data PyTorch TensorFlow Scikit-learn NumPy / Pandas OpenAI API / LLM APIs LangChain / agent frameworks RAG architectures (vector databases, embeddings) Backend & APIs

Databases & Storage PostgreSQL MySQL MongoDB SQLite Redis Vector Databases (FAISS, Pinecone, Weaviate) DevOps & Tools

Frontend (Support Layer)

React • Tailwind CSS • Bootstrap • HTML • CSS

AI System Interests LLM-powered applications (chatbots, copilots, assistants) Retrieval-Augmented Generation (RAG) Multi-agent systems AI workflow automation Intelligent backend architectures Evolutionary / adaptive systems (experimental AI) Projects Direction

Typical systems I build:

AI-powered SaaS tools Document Q&A systems (RAG) Automation pipelines with AI decision layers Full-stack AI dashboards API-first AI services Contact LinkedIn: https://www.linkedin.com/in/rasimabiyev/ Portfolio: https://rasim.vercel.app/ Closing

Focused on building AI systems that are usable, scalable and production-ready rather than experimental-only prototypes.