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Frank david Jones
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Homestead, Florida, United States
Résumé
Jobs
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Senior AI EngineerAmwellApr 2023 - Current (3 years 4 months)Owned architecture and delivery for an enterprise Agentic AI platform integrating RAG, workflow orchestration, and clinical guardrails to automate care-team tasks while meeting HIPAA and audit requirements. Led cross-functional execution with product, data science, and SRE to translate clinical workflows into technical specs, APIs, and deployable services with clear reliability ownership. Built LLM-powered triage and documentation assistants using LangChain, LangGraph, and Hugging Face components, integrating tool use, memory, and policy checks for safe autonomous actions. Implemented a secure VectorDB retrieval layer with embeddings, metadata filters, and PHI redaction to support clinically auditable answer provenance and reproducible eval- Senior Machine Learning EngineerPfizerSep 2018 - Mar 2023 (4 years 7 months)Designed and deployed production ML services for regulated analytics workflows, owning feature engineering, training, validation, deployment, and monitoring with strong documentation discipline. Built scalable batch and real-time inference pipelines on AWS and Azure using containerized microservices and queue-driven orchestration for resilient downstream consumption. Implemented MLOps standards with model registries, experiment tracking, automated retraining triggers, and gated releases that reduced manual deployment effort by 45%. Created reproducible evaluation plans including calibration, bias and fairness checks, robustness tests, and explainability reports using SHAP to support stakeholder trust. Improved model serving reliability by 3
- Machine Learning EngineerPatientPointJul 2016 - Aug 2018 (2 years 2 months)Built ML-driven personalization services to optimize healthcare content delivery, owning feature pipelines, model training, and production integration with web and mobile applications. Implemented large-scale data preparation with Spark and SQL to produce curated datasets and consistent labels for modeling and offline evaluation. Improved recommendation relevance by 22% using robust feature engineering, careful leakage prevention, and systematic hyperparameter tuning with reproducible experiment tracking. Deployed low-latency inference endpoints using Docker and autoscaling, aligning API SLAs with upstream product requirements and downstream data contracts. Implemented monitoring dashboards for model and pipeline health, detecting data drif
- Software EngineerOnMedJan 2014 - Jun 2016 (2 years 6 months)Developed backend services supporting telehealth workflows, focusing on secure data handling, reliable integrations, and clean API contracts for clinical-facing applications. Built event-driven components for appointment and device workflows using message queues and resilient retry patterns to prevent cascading failures in production. Reduced critical incident frequency by 35% through improved logging, alerting, and systematic root-cause analysis paired with targeted refactoring and test coverage improvements. Implemented authentication and authorization patterns, improving auditability and least-privilege access for systems handling sensitive patient data. Collaborated with QA and product to deliver iterative releases under agile cadence,
- Technology ConsultanteyJan 2012 - Dec 2013 (2 years)Delivered data and software modernization engagements, translating ambiguous stakeholder needs into technical designs, implementation plans, and operational runbooks. Built reporting and analytics pipelines with strong data governance discipline, emphasizing lineage, validation checks, and clear ownership for production support. Led client workshops and technical deep dives, producing documentation that enabled cross-team alignment and reduced delivery risk during platform transitions. Partnered with security and infrastructure teams to align application delivery with enterprise controls, including access management and change management processes. Supported agile delivery execution with backlog grooming and release planning, improving coor
Education
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- Master of Science (MS) in Computer ScienceCarnegie Mellon UniversityAug 2009 - Dec 2011 (2 years 5 months)Pittsburgh, PA
- Bachelor of Science (BS) in Computer ScienceCarnegie Mellon UniversityAug 2005 - May 2009 (3 years 10 months)Pittsburgh, PA