As the founder of KitaModels, I spearheaded the development of an innovative AI-driven fashion modeling service that leverages cutting-edge image generation, machine learning, and virtual try-on technology. By automating image processing and model generation with Python, I provided fashion brands with a high-tech alternative to traditional photoshoots. In addition to overseeing the technical aspects, I personally managed client outreach and successfully secured contracts with boutique fashion brands, establishing KitaModels as a leader in the AI fashion modeling space.

As a co-founder and current President of CMU AI, I spearheaded the establishment of this club to foster a vibrant AI community at Carnegie Mellon University. My role encompasses strategic planning, organizing meetings, and networking with industry leaders to enhance our members' learning experience. I'm dedicated to promoting AI innovation and collaboration, while continuously expanding our club's reach and impact in the AI landscape.

Developed advanced NPC behavior using Large Language Models, C++, and Unreal Engine to enhance virtual reality training simulations. Created and integrated AI-driven training scenarios in Unreal Engine, improving trainee engagement. Contributed to the development of high-tech, realistic training environments for police and military personnel.

At Tupperware, I leveraged Excel, Power BI, Python, and databases to extract and analyze data, providing actionable insights that drove informed business decisions. I translated complex datasets into compelling narratives, making it easy for non-technical stakeholders to understand and utilize the information. Through meticulous data extraction, cleaning, and management, I ensured the accuracy and usability of all data sources, enabling seamless decision-making processes.

Directly shadowed Head of Research (OGiQ) and was provided with an educational experience that enhanced my understanding of the financial services industry from a human capital perspective. Introductory learning started with a macro overview of the financial services industry, and more detailed lessons spotlighted specific markets and institution types, including; proprietary trading firms, hedge funds, and banks. Built proprietary snapshots of select firms for Crypto-fund client used by senior management for benchmarking (Selected Firms include: Coinbase, Blockdaemon, Voyager, Kraken, Axoni, Binance). Facilitated creation of outgoing firm publications, including: Daily Newsletter and Bloomberg MVP list.