Successfully led a startup team to $10,000 in profit per month, raised money for suicide prevention, managed teams of over 20 employees, orchestrated pop-up shops, and developed and managed the website including customer acquisition algorithms. (urnvralone.com)

I developed advanced Natural Language Processing (NLP) systems, focusing on optimizing Retrieval-Augmented Generation (RAG) and enhancing intent classification. I designed and implemented a novel "wavular" RAG approach and a hybrid embedding-based classification system, demonstrating proficiency in large-scale information retrieval, machine learning, and deep learning methodologies. The work involved extensive use of Python, PyTorch, and TensorFlow, along with CUDA programming for GPU acceleration. I applied advanced NLP techniques including vector space models, similarity metrics (cosine similarity, Euclidean distance), and various text representation methods. The project required sophisticated data preprocessing and management for large-scale NLP datasets, showcasing my ability to develop innovative solutions for complex NLP challenges in resource-constrained environments.

Teaching students the foundational concepts of computer science. I also tutor students.

I'm supervising a machine learning project being developed by current students in the CS 124 Honors course using PyTorch.

• Played a significant role in local politics by joining a mayoral campaign.• Provided strategic recommendations for community outreach and voter engagement.• Contributed to campaign planning and execution, including social media strategies and event planning