David Szabo

I specialize in developing full-stack applications that leverage machine learning, particularly NLP, to analyze and improve knowledge bases. My role includes designing machine learning models, implementing REST APIs with FastAPI, creating reactive front-ends with Svelte, setting up CI/CD pipelines, and deploying applications in containerized environments.

As a data scientist in the business intelligence team, my primary focus revolved around building resilient end-to-end data and machine learning pipelines. I assumed responsibility for deploying these pipelines on AWS infrastructure, ensuring their reliability and scalability. I played a central role in data analysis, providing valuable insights that informed organizational decision-making processes.

During my internship as a full stack developer, I gained hands-on experiencewith Django, Python, GraphQL for backend development, and Angular for frontend development.

I contributed to the research and the implementation of advanced machine learning algorithms, specializing in node embedding dynamic graphs. Additionally, I applied supervised and reinforcement learning techniques to enhance autonomous system capabilities.

I introduced students to formal languages, deterministic finite automata, regex, parsing algorithms, and the art of crafting compilers for programming languages.

Outstanding diploma