I am a Lead Engineer and Applied Data Scientist with over 13 years of experience building scalable data platforms, distributed backend systems, and AI/ML solutions across financial services, supply chain, digital health, and consumer marketplaces. Throughout my career, I have:Architected multi-step, tool-using AI agent loops, context engineering, and evaluation harnesses to automate real-time operational workflows.Engineered high-volume event-driven data pipelines and self-service access layers using Python, advanced SQL, PostgreSQL, and AWS. Built centralized observability and data governance platforms that automated PII/PHI remediation and ensured compliance with SEC, FINRA, and HIPAA regulations. Led cross-functional platform modernization initiatives that improved system reliability, reduced latency, and eliminated manual operational overhead.

Randall Turner

I am a Lead Engineer and Applied Data Scientist with over 13 years of experience building scalable data platforms, distributed backend systems, and AI/ML solutions across financial services, supply chain, digital health, and consumer marketplaces. Throughout my career, I have:Architected multi-step, tool-using AI agent loops, context engineering, and evaluation harnesses to automate real-time operational workflows.Engineered high-volume event-driven data pipelines and self-service access layers using Python, advanced SQL, PostgreSQL, and AWS. Built centralized observability and data governance platforms that automated PII/PHI remediation and ensured compliance with SEC, FINRA, and HIPAA regulations. Led cross-functional platform modernization initiatives that improved system reliability, reduced latency, and eliminated manual operational overhead.

Available to hire

I am a Lead Engineer and Applied Data Scientist with over 13 years of experience building scalable data platforms, distributed backend systems, and AI/ML solutions across financial services, supply chain, digital health, and consumer marketplaces. Throughout my career, I have:Architected multi-step, tool-using AI agent loops, context engineering, and evaluation harnesses to automate real-time operational workflows.Engineered high-volume event-driven data pipelines and self-service access layers using Python, advanced SQL, PostgreSQL, and AWS. Built centralized observability and data governance platforms that automated PII/PHI remediation and ensured compliance with SEC, FINRA, and HIPAA regulations. Led cross-functional platform modernization initiatives that improved system reliability, reduced latency, and eliminated manual operational overhead.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate

Work Experience

Lead Engineer at FORTNA
September 1, 2024 - Present
Led architecture and evolution of distributed platforms supporting real-time transportation, warehouse, and fulfillment operations, turning continuous operational events into reliable context for downstream decision-making. Built and deployed production ML and data services using Python, Docker, and Kubernetes, focusing on model serving, inference performance, and latency reduction. Designed scalable data pipelines to ingest, validate, normalize, and process high-volume operational events; implemented ML model monitoring and versioning for data quality and model reliability. Implemented MLOps practices including CI/CD for model training, validation, deployment, and rollback. Established observability patterns, SLOs, and alerting using telemetry-driven debugging; integrated backend services and REST APIs with external logistics systems to handle temporary failures and partial outages. Provided technical direction across system boundaries and mentored engineers on production ML delivery
Senior Software Engineer at Wells Fargo
March 1, 2021 - August 31, 2024
Designed and evolved centralized observability and operational platforms for large-scale regulated financial systems, enabling faster incident investigation and failure identification through improved operational visibility. Built high-volume data processing workflows using Python and SQL, applying data validation and normalization across ingestion, processing, storage, and search. Developed ML model monitoring and versioning for operational data pipelines and ensured continuous tracking of model performance and data quality. Implemented CI/CD automation and infrastructure efficiency improvements using Docker and Kubernetes. Applied MLOps practices to streamline model deployment and monitoring while balancing scale, availability, cost, security, and compliance. Worked on AWS modernization efforts and collaborated with distributed teams on design discussions, including sensitive data remediation workflows.
Software Engineer at Amwell
January 1, 2017 - February 28, 2021
Built and modernized backend systems and data workflows for digital-health platforms, separating responsibilities in legacy services to create a stronger foundation for future development. Developed data pipelines moving health-related user activity and application events into structured systems with validation and normalization for data quality. Designed integrations with external healthcare systems accounting for temporary failures, delayed responses, and partial outages. Implemented REST APIs and service architecture improvements to reduce manual operational coordination. Applied Python and SQL for data processing and analysis supporting predictive healthcare workflows; used Docker for containerized development and deployment. Collaborated on technical design and code reviews with emphasis on security, access boundaries, and traceability.
Software Developer at StockX
October 1, 2014 - December 31, 2016
Contributed to customer-facing product workflows and backend services for a consumer marketplace, building features connecting user experiences with shared business logic. Developed background processing systems for asynchronous workflows to move heavy computations off the user request path. Identified and resolved performance bottlenecks and supported production systems using observability and monitoring to diagnose issues observed in real user behavior. Built data processing and reporting capabilities using Python and SQL. Gained experience with cloud infrastructure and CI/CD for deployment automation and production reliability improvements; collaborated to organize shared functionality for consistent reuse across the platform.

Education

Master’s Degree in Computer Science at Michigan State University
January 1, 2012 - January 1, 2014
Bachelor’s Degree in Computer Science at Michigan State University
January 1, 2008 - January 1, 2012

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Financial Services, Healthcare, Transportation & Logistics, Professional Services

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate

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