Built initial NLP product via custom built domain specific decision trees with semantic interconnections

Later migrated to AI based NLP utilizing LLMs for NLU and NLG as needs dictated

Analyzed LLM performance in different contexts for pharmaceutical education

Utilized GPT 2-4.5 and Llama2 as performance and security needs dictated

Architected and implemented Python microservices using copilot to support thousands of requests per minute

Built CICD pipeline to quickly deploy changes pushed to Github directly to our AWS services

Developed MySQL database structure, data architecture, and REST interfaces for patient data

Created comprehensive testing methodology to minimize patient-facing bugs and build customer confidence

Evaluated VecDB options for RAG including pinecone and vectorized SQL

Deployed comprehensive LLMops solution with Vellum to speed up development speed and rapidly deploy

Created and assigned two-week sprint tasks to continuously drive agile projects forward

Mentored intern on software development and data analysis by overseeing progress and guiding work direction

Identified and implemented organization-wide compliance policies and architectures for Soc2 and HIPAA

Researched, presented and resolved legal and regulatory issues related to product development and FDA approval

Utilized model for prediction of Latin American bond yields based on historical yield rates, and outstanding debt

Analyzed and interpreted historical data to calibrate technical model

Built python dashboard for data visualization that combined historical yield rates from Bloomberg with model predicted future yield rates