"Building technology to solve real-world problems, staying deeply human."
- π Focus: Designing resilient backend systems, relational data architectures, and applied AI integration pipelines.
- π» Core Backend: Python (Django, FastAPI), RESTful APIs, PostgreSQL, Docker, and Git.
- π€ Data & AI: Machine Learning, Time-Series Forecasting, Computer Vision (YOLO/Roboflow), and Streamlit prototyping.
- π Research & Next Steps: Exploring spatial data analysis and AI applied to GIS and environmental modeling.
- π Work Style: Fully asynchronous, remote-first, collaborating with distributed teams.
tech_stack = { "languages": ["Python", "SQL", "JavaScript"], "backend_db": ["Django", "FastAPI", "Flask", "PostgreSQL", "MySQL"], "data_ai": ["Pandas", "NumPy", "Scikit-Learn", "Streamlit", "YOLO"], "devops_tools": ["Docker", "Git", "GitHub Actions", "Linux"] }
- π₯ INTRODUCTION TO ARTIFICIAL INTELLIGENCE
- π PREDICTION MODELS
- π³ WHAT IS DOCKER
- π COMPONENTS OF DATA SCIENCE PROJECT
Thank you for visiting my GitHub! Let's build something impactful.