— Built an automated ETL pipeline that collects and cleans grant funding data, consolidates it into master Excel files, and uploads results to Google Drive. Integrated Playwright, Google Sheets & Drive APIs, and OpenPyXL for seamless data automation and secure OAuth2 access.

— Developed a Python script that researches topics, gathers the educational content, and generates AI-based flashcards formatted for popular edTech platforms. Utilized Playwright, Encyclopedia.com, and Gemini API for automated data retrieval and question creation.

— Fine-tuned a BERT model to classify questions by Common Core grade level with 70% accuracy. Used Hugging Face, PyTorch, and Scikit-learn for training and Streamlit for deployment in an interactive web app.

● Designed machine learning models for document classification, improving efficiency of data processing by 33% . ● Built automation bots to streamline dashboard generation in Domo, saving 25 minutes per new client onboarding. ● Used Domo for maintaining client facing dashboards and evaluating client usage metrics. ● Designed ETL pipelines for continuous data capture, cleaning, and update validation. ● Collaborated with senior engineers for enterprise level deployment.

● Designed and evaluated tasks to improve AI model reasoning and reliability across multimodal datasets. ● Debugged and analyzed model outputs to identify failure patterns and refine performance. ● Contributed to AI projects involving image recognition and PostgreSQL troubleshooting. ● Maintained a 4.9/5 performance rating for task accuracy and quality.

Used common core standards and evidence based teaching, achieving above average teaching evaluations. ● Assisted students and staff with ethical AI solutions . ● Implemented AAPPL exam for national recognition, achieving results above that of the national average for first year students.