I am a teaching assistant and backend & AI engineer working at the intersection of backend engineering and applied artificial intelligence.
My work centers on building reliable, well-structured software and on exploring how large language models can be combined with knowledge graphs, ontologies, semantic search, and symbolic reasoning to produce systems that are both capable and interpretable. I am particularly interested in biomedical AI and explainable AI, with the goal of turning research concepts into practical, real-world applications.
| Area | Description |
|---|---|
| 🧠 Neuro-Symbolic AI | Integrating neural models with symbolic reasoning |
| 🔗 LLMs & Knowledge Graphs | Grounding language models in structured knowledge |
| 🧩 Ontologies & Semantic Reasoning | Formal knowledge modeling and inference over structured domains |
| 🔍 Explainable AI | Transparent models and decision support systems |
| 🛠️ AI-Assisted Software Engineering | Using AI to improve how software is built |
- Backend Development — API design, service architecture, and data-driven applications
- AI Application Development — LLM integration, semantic search, and retrieval pipelines
- Knowledge Engineering — ontology- and knowledge-graph-based systems
- Data Engineering — database modeling and data processing
- Research Software — turning research prototypes into maintainable software
Open to research collaborations, discussions on neuro-symbolic and biomedical AI, and interesting software projects.
