Aspiring Data Scientist & ML/AI Engineer at The University of Texas, Austin
I'm a student at The University of Texas at Austin pursuing a B.S. in Statistics and Data Science plus Mathematics as a double degree with an Entrepreneurship Minor and an Elements of Computing Certificate
I've developed various full-stack applications and worked on machine learning projects. I'm particularly interested in image processing, LLMs, integrating AI into everyday applications and developing innovative solutions that make a real impact. When I'm not coding, you can find me playing volleyball, thrifting, or baking/cooking. If you want to collaborate with or contact me, I'm always open to new ideas and projects!
Built end-to-end ticket pricing solution using BigQuery SQL pipelines, RNN/XGBoost prediction models, and an automated content engine, optimizing inventory management and increasing revenue.
Engineered and deployed comprehensive data processing solutions integrating NLP filtering, Google's Gemini AI for document analysis, and a high-accuracy ML classification system, significantly streamlining business operations.
Developed real-time license plate recognition system and implemented preprocessing pipeline to enhance OCR accuracy, reducing detection times from ~8 to ~5 second(link).
Led research team analyzing osteoarthritis data, implemented RNA sequencing workflows, and applied advanced models including t-SNE, SVA, and UMAP
Conducted SWOT analysis across 30 competitors and improved customer engagement by 15% through strategic online media coverage
Built an in-house ML model to predict and detect sicknesses and illnesses based on specific markers from large datasets using Decision Trees and Random Forest.
View ProjectPlatform that allows users to summarize any document with the implementation of a Rag Pipeline using Ollama, Langhchain and Streamlit.
View ProjectApplication for visually impaired users that summarizes research papers with text-to-speech functionality using Python, OpenAI, and Googletrans
View ProjectBusiness application featuring investor-founder matching using Streamlit, Python, Sci-Kit Learn, Numpy, Pandas, and Matplotlib
View ProjectBlissBot is a healthcare and mental health chatbot which leverages LLM and OpenAI API implementation with a Streamlit UI
View ProjectCalory is a web application that helps users track daily caloric intake, provides nutritional information, suggests exercises, and aids in diet balancing. It's built using HTML, CSS, and Django.
View Project