Leading development of the first LLM for dry bean genetics using a curated 750k+ paper dataset, integrating Pinecone, GPT-4.0, and NCBI to extract gene-trait insights, with a first-author paper submission planned for July 2025.

• Designed full backend for genomic research assistant combining LLMs, vector search, and gene databases.
• Preparing first-author submission to Briefings in Bioinformatics under genomics guidance from Dr. Mohsen Yoosefzadeh Najafabadi.

Led the fine-tuning of large language models (LLMs) for a medical AI chatbot focused on billing inquiries, ensuring accuracy and compliance through consultations with over 10 physicians and clinicians. Delivered a strategic presentation to senior managers, advancing the project to QA testing and preparing for deployment.

• Conducted cost-benefit analyses and implemented best practices to optimize chatbot performance within budget constraints.
• Collaborated with clinicians to align the chatbot’s functionality with medical industry standards.

Collaborated with diverse teams to integrate microservices and resolve complex technical challenges, while streamlining debugging processes through parallel processing. Developed and presented a production-level program to automate job calls, significantly enhancing team workflow efficiency.

• Decreased debugging time by over 50% for job deployment by implementing parallel processing techniques.
• Automated job calls to Ansible Tower using Python and Curl, showcasing the solution’s impact to senior managers.