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Monterious Drake

@monteriousdrake

Message

Lead AI/ML engineer building production-grade LLMs and explainable ML solutions.

United States

Message

What I'm looking for

I seek to lead AI/ML initiatives where I can deploy production LLMs, improve model trustworthiness, mentor teams, and drive measurable business impact in an innovative, collaborative environment.

I am a Lead AI/ML Engineer with 10+ years of experience designing and deploying production-ready Generative AI, LLM systems, and predictive machine learning models across FinTech and TravelTech. I specialize in building trustworthy, explainable AI frameworks, automating evaluation (hallucination detection, relevance scoring), and delivering measurable business impact through enterprise chatbots, AIOps, and real-time analytics.

I have led cross-functional teams, mentored engineers, and partnered with cloud vendors to operationalize AI at scale, reducing manual work and improving decision-making. I hold certifications including Google Cloud Digital Leader and Scrum Master, and am proficient in Python, TensorFlow, Hugging Face, Vertex AI, BigQuery ML, AWS, and Azure.

Experience

Work history, roles, and key accomplishments

Current

Lead AI/ML Engineer

Current

Sabre Corporation

Apr 2022 - Present (3 years 9 months)

Developed and deployed production LLM systems and enterprise chatbots, built automated AI testing frameworks and BERT-based hallucination detection, and implemented Gemini-based automation reducing manual debit memo workload.

Python TensorFlow Hugging Face Vertex AI BERT Databricks AI Testing

Lead Data Scientist

Sabre Corporation

Apr 2019 - Apr 2022 (3 years)

Led analytics for cloud migration, created executive dashboards improving ROI and GCP adoption, built real-time visualizations and served as Scrum Master to deliver scalable reporting solutions.

ServiceNow Google Cloud SQL Python Power BI Jira Confluence Dashboards

AI/ML & Data Scientist

Vanguard

Jun 2017 - Apr 2019 (1 year 10 months)

Built predictive models and ML pipelines for fraud detection and risk management, deployed AI models into production investment systems, and supported real-time anomaly tracking for financial platforms.

Python Spark SQL R AWS Tableau Fraud Detection Anomaly Detection

Software Engineer

Vanguard

Nov 2015 - Jun 2017 (1 year 7 months)

Engineered ETL pipelines and APIs for trading and retirement platforms, contributed to AI-driven customer analytics and supported big data and cloud adoption initiatives.

Java Python SQL AWS Sagemaker Hadoop Databricks ETL APIs Analytics Cloud Adoption

Associate Software Engineer

Vanguard

Jan 2014 - Nov 2015 (1 year 10 months)

Enhanced core trading platform stability and performance and built data frameworks for early ML prototypes while ensuring compliance with financial audits and reporting.

Python SQL REST APIs Confluence Jira Testing Compliance Performance Tuning

Technical Intern

Vanguard

May 2013 - Oct 2013 (5 months)

Automated reporting pipelines and developed prototype dashboards to streamline financial data processing and track system KPIs.

Python SQL Excel Tableau Dashboards Data Processing KPIs

Education

Degrees, certifications, and relevant coursework

Villanova University

Bachelor of Science, Advanced Data Analytics & Machine Learning

2009 - 2013

Completed a Bachelor of Science focusing on advanced data analytics and machine learning, including coursework and projects in predictive modeling and data engineering.