Developed AI agents for automated Statement of Work (SOW) generation, leveraging Llama3 and Granite models in LangChain to streamline document creation, reducing manual drafting time by about 80%.

• Enhanced the SOW agent by implementing a structured scope section, improving clarity and usability for end users, leading to a 30% increase in document approval efficiency.

• Engineered AI-driven agents for workflow automation, utilizing LangChain and LangGraph to optimize legal and technical document processing, resulting in a 50% boost in operational efficiency.

• Developed an Agent Workflow capable of converting legal documentation into code, utilizing Langchain and Langgraph to enhance FDA speed, resulting in a 70% reduction in manual coding time.

• Integrated customizable LLM options, enabling users to select from WatsonX models (Granite, LLama3.1, Mixtral, etc.) and OpenAI models (GPT-4o, GPT-4o-mini), resulting in a 50% increase in OpenFisca code creation speed

and a 30% improvement in overall task performance.

• Improved system performance and user experience by integrating a versatile Logic Checker and Code Checker, and reducing workflow waiting times by 40% through the addition of a new agent.

Current Founder for Fyxture, an AI based Real Estate Contract Analysis Platform

• Selected as one of the 53 students from various regions in the United States to attend the prestigious Black and Hispanic Analyst Summit.

• Engaged in a comprehensive series of career development sessions aimed at providing valuable insights into the professional realm, particularly within the context of being an Analyst at Capital One.

• Collaborated with experienced recruiters in simulated analyst interview scenarios, allowing me to refine my interview techniques and strategies.