Project 1: Unstructured Data Ingestion Engine- Implemented data extraction pipeline leveraging optical character recognition and large language models to convert unstructured data to an easily queryable structured format- Designed and built knowledge graph to store extracted data to be accessed through semantic search and other data consumption tools- Contributed to frontend build by adding functional features for business stakeholders Project 2: Data Visualization Engine- Constructed a data visualization engine for on-demand analytics generation powered by large language models - Engineered and implemented backend APIs using Flask to seamlessly integrate with LLM function calling- Oversaw the user acceptance testing (UAT) phase, collaborating closely with end-users and testing teamsProject 3: Generative AI Powered Data Mesh Services- Implemented a generative AI powered data mesh to connect isolated data sources for LLM-agent data consumption- Engineered and implemented backend APIs using Flask and LLM function calling- Designed a metadata knowledge graph and subservices for LLM agents to navigate to their desired data source and use retrieval augmented generation (RAG)

Project 1: Natural Language Processing of Financial Reports- Conducted research on natural language processing models and techniques for a private investment fund- Designed and implemented a data extraction, transformation, and loading process for 10-K financial reportsProject 2: PA State Index Tracker- Served as project manager on the Pennsylvania Index creation project and worked with Lehigh faculty to draft product requirements and specifications- Utilized financial APIs to obtain live data automate the data refresh of the web application

- Designed and built software and hardware for an image recognition bot to assist with Covid protocols- Leveraged PyTorch convolutional neural networks (CNNs) to train machine learning models for image classification and Implemented codebase onto an embedded system for physical interactivity with users