Hire Jerez T. - Generative AI Architect

* Principal Investigator for Agentic AI Observability (applying observability to various AI agent frameworks) * Lead full-stack developer (two prototypes) for comparison of legal affidavits to supporting documents and determining cases based on user information using open-source and proprietary LLMs and RAGs including advanced prompting and agents * Fine-tuned LLM and embeddings/retrieval to improve accuracy of LLM/RAG * Leads in the automated evaluation of large language models (LLMs) or retrieval augmented generation (RAGs) * Leads a team of 5 for determining best practices for data management (FAIR principles) including assessing use-cases for ChatGPT (prompt engineering) and AutoGPT in establishing a Data Management Center of Excellence for an HHS agency * Helps in developing and maintaining orchestration pipelines that ingested data from various APIs, transforming and aggregating it into AI-ready datasets used by five organizations for machine learning models * Primary ML engineer to develop pioneering MLOps capability with the Center for Disease Control and Prevention (CDC) * Secured $280K internal funding and managed a team for Climate-Health Outcomes web app development * Trusted by Senior Leadership on Cybersecurity Data Quality (migration from Splunk to Snowflake) * Contributor to Cybersecurity Continuous Diagnostic and Mitigation Analytics (AWS cloudtrail and config) including informing autoscaling cyber policies * Lead developer of scalable analytics capability for geospatial supply chain trucking data (using INRIX data to track travel patterns) * Reverse-engineered and built ML models for diabetes onset prediction for a cooperative of corporate employers * The only data scientist from 10 who reverse-engineered few information to identify an individual in motivated intruder testing (de-identify privacy data from publicly available files) * Helps establish ETL pipeline and machine learning for a Real World Evidence (RWE) study

* Helps establish a data science team from the ground up * Solved a previously abandoned project (1.5-month data engineering team effort) * Developed proof-of-concepts for upper management: * ● Multivariate, multiple time series financial forecasting * ● Agile task and story points estimation using Natural Language Processing * ● Automated summarization of unstructured text data * Plans Machine Learning Architecture and Solutions using AWS