I will create web app ,rag system , small finetunning

Full-Stack Python Development | FastAPI, PostgreSQL, LLM Fine-Tuning & RAG Systems

I build backend systems and AI-powered applications using Python, with a focus on clean API design and hands-on experience working with LLMs.

What I offer:

Backend & Web Apps

• REST APIs with FastAPI, using Pydantic for request/response validation
• Database design with PostgreSQL + SQLAlchemy, including migrations with Alembic
• JWT authentication and basic user management (login, permissions, CRUD endpoints)
• Async API development for better performance

LLM Fine-Tuning

• Fine-tuning small/quantized language models (e.g., Qwen, GPT-2) using LoRA/PEFT
• Preparing training datasets, including converting raw data into instruction-style training pairs
• Working with 4-bit/8-bit quantization to train on limited hardware (Kaggle/Colab)

RAG (Retrieval-Augmented Generation) Systems

• Building basic RAG pipelines: embeddings, vector storage (pgvector), and retrieval-based generation
• Implementing similarity search for context retrieval
• Connecting local or hosted LLMs to retrieval systems