Backend Engineer with 13+ years of experience building database-driven applications, backend services, and REST APIs using Laravel, PHP, PostgreSQL, MySQL, and Python.
I am currently developing AI-enabled decision-support systems at Julius Kühn-Institut in Germany, where I work on backend platforms that integrate environmental sensor data, geospatial datasets, machine learning services, and LLM-powered functionality for scientific and real-world analysis.
My main focus is on:
- Designing clean and scalable backend architectures
- Building maintainable REST APIs and database systems
- Integrating Python, FastAPI, ML, and LLM services into production workflows
- Developing practical software for research, analytics, and decision support
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I use these tools to improve:
- code quality and refactoring
- debugging speed
- technical documentation
- architecture exploration
- development productivity
I build backend systems for agroforestry and environmental analysis platforms, integrating:
- sensor and environmental data
- simulation outputs
- geospatial datasets
- machine learning services
- LLM-powered assistant features
I design and implement:
- Laravel-based backend architectures
- relational database schemas
- secure and maintainable REST APIs
- data services for scientific and operational systems
I develop Python and FastAPI services for:
- ML inference
- data transformation and validation
- reporting workflows
- AI-assisted analysis pipelines
- 💼 LinkedIn: linkedin.com/in/navid-bakhtiary
- 📨 Email: navidbakhtiary@gmail.com
- 🌍 Location: Germany