Spring 2023

• Built & developed an NLP conversational AI server on Flask.
• Scaled NER (name entity recognition) algorithm to extract financial keywords.
• Trained and fine tuned WizardLM and Vicuna on financial data

Fall 2023

• Leveraged LangChain framework to further current LLM chatbot prototype.
• Began integrating Adobe Marketo application into the platform in order to increase automation efficiency. Used python to fetch relevant information from corresponding REST API calls.

Fall 2023

• Create a centralized clothing marketplace to connect clothing brands to their consumers.
• Built mobile app with React Native frontend and Express for backend API
• Integrated Firebase DB for user authentication and data storage.

Fall 2022

• Built a visual log app to automate validating and improving the performance of Computer Vision algorithms for identifying over 1,000 products in retail environments (for a frictionless checkout company) using Streamlit, OpenCV, and Google Cloud
• Developed an image embedding explorer web app to analyze images from in-store cameras to identify similar products, and reduced image processing time by 50% with a caching feature
• Created a 98% accurate semantic segmentation model to detect occlusions of products, including pipelines to aggregate and preprocess images, using OpenCV and Gluon

• Amazon Web Services
• Gaming Analytics
• Study Squirrel
• DLab