Contractual development work on hard problems in ai data and infrastructure.

• Designed and implemented overall solution architecture in AWS cloud

• 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

• Developed system dynamic economic model using Stella an all in one system dynamic modeling software

• 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