I'm a Python developer focused on AI Engineering and backend systems.
I build systems around LLMs, AI agents, RAG, APIs, databases, and machine learning, with a strong focus on understanding how the underlying systems actually work.
Currently working toward becoming a stronger AI Engineer capable of designing and shipping production-grade AI applications.
Python
│
├── Machine Learning
│
├── LLM Applications
│ ├── RAG
│ ├── AI Agents
│ └── Multi-Agent Systems
│
└── Backend Engineering
├── FastAPI
├── SQLAlchemy
├── PostgreSQL
└── API Architecture
|
Python |
FastAPI |
PyTorch |
PostgreSQL |
SQLite |
Docker |
|
Git |
GitHub |
VS Code |
NumPy |
pandas |
Jupyter |
|
Conda |
Linux |
Bash |
GitHub Actions |
Redis |
NGINX |
LLMs · RAG · AI Agents · Multi-Agent Systems · Prompt Engineering · Embeddings · Vector Search · LLM Applications
REST APIs · Authentication · Database Design · ORM · Migrations · API Architecture · Vector Databases
uv · pip · venv · pytest · python-dotenv · asyncio · typing · Pydantic
Search → Read → Write → Critique
A multi-agent research system that coordinates specialized AI agents to automate web research and report generation.
Built with
Python LangChain OpenAI Tavily BeautifulSoup Requests Streamlit
A FastAPI backend for organizing research projects and their related resources.
The system includes:
Authentication · Projects · Bookmarks · Notes · Resources · SQLAlchemy · Alembic
Built with
Python FastAPI SQLAlchemy SQLite PostgreSQL
AI ENGINEERING
│
┌────────────────┼────────────────┐
│ │ │
LLMs RAG Agents
│ │ │
└────────────────┼────────────────┘
│
AI APPLICATIONS
│
┌──────────┴──────────┐
│ │
FastAPI Databases
│ │
└──────────┬──────────┘
│
REAL PRODUCTS
- Building better AI agents
- Understanding RAG architecture
- Building production-style FastAPI backends
- Database architecture with PostgreSQL + SQLAlchemy
- Exploring LangGraph
- Learning how LLM systems work underneath the abstractions
- Turning AI experiments into useful products
Python · AI Engineering · Backend · Systems