Developed machine learning models using financial datasets in Google Colab with Python (e.g., pandas, scikit-learn) to analyze and optimize business processes
Researched and documented LLM system architectures, including data pipelines, process flow diagrams, RAG frameworks, and stateful vs. stateless model design
Analyzed and applied data models to identify correlations across moderate datasets within system design frameworks.
Undergraduate Researcher
Tallahassee, USA
05.2025 - Current
Undergone the research process in creating a research question, hypothesis within the subject of VANET's in ITS transportation research topic.
Conducted 5 thorough literature reviews for VANET's research articles in machine learning methodologies. Evaluating their strengths, weaknesses, methodologies and validity of results.
Experimented with Python importing libraries with MATLAB, pandas, scikit-learn in Visual Studio Code.
Engaged in debugging open-source VANET type datasets based on research question.