Mark Goolsby
Orlando,FL
Summary
Senior AI/ML Engineer with a proven track record in delivering high-accuracy machine learning solutions. Expertise in project management, algorithm development, and AI consulting, driving innovative results in financial services and healthcare.
Overview
7
7
years of professional experience
Work History
Senior AI/ML Engineer
Lumina AI
Tampa, Florida
03.2023 - 12.2025
- Served as technical lead and AI strategist for enterprise clients implementing cutting-edge machine learning solutions
- Specialized in deploying Lumina's proprietary Random Contrast Learning (RCL™) technology for high-accuracy classification tasks, with particular focus on financial services fraud detection and medical imaging applications
- Led implementation of real-time fraud detection systems for financial institutions using RCL™, achieving state-of-the-art accuracy while reducing inference costs by 80% through CPU-optimized model deployment
- Architected cross-modal AI frameworks combining structured data, text, images, and behavioral signals for comprehensive risk assessment
- Designed and deployed insurance fraud detection pipelines processing claims in near real-time, saving clients millions in fraudulent payouts
- Built RAG (Retrieval-Augmented Generation) systems integrating LLMs with enterprise knowledge bases for intelligent decision support
- Developed medical imaging classification models for diagnostic assistance, collaborating with healthcare providers to ensure clinical validation
- Created custom fine-tuning pipelines for domain-specific LLM applications, optimizing for accuracy, latency, and cost
- Provided strategic AI consulting to executive leadership, developing roadmaps for AI adoption and digital transformation initiatives
- Authored technical documentation, white papers, and presented at industry conferences on practical AI implementation strategies
Senior Software Engineer
LATO AI
Miami, Florida
04.2021 - 02.2023
- Led development of AI-powered business process automation solutions across multiple industry verticals including manufacturing, logistics, healthcare, and construction
- Spearheaded the technical implementation of intelligent document processing (IDP) systems and custom automation platforms that transformed enterprise operations
- Designed and deployed end-to-end Intelligent Document Processing pipelines achieving 98% accuracy in extracting structured data from complex documents (invoices, contracts, claims)
- Built conversational AI interfaces and chatbots that automated customer interactions, reducing support ticket volume by 60% for enterprise clients
- Architected Business Process Automation (BPA) solutions integrating with existing ERP, CRM, and project management systems via custom API connectors
- Developed computer vision models for document classification and OCR enhancement, processing 100K+ documents monthly
- Led technical discovery sessions with C-suite executives, translating business requirements into scalable technical architectures
- Implemented NLP pipelines for automated data extraction, entity recognition, and intelligent routing across multiple languages
- Mentored junior developers and established engineering best practices, code review standards, and documentation protocols
Full Stack Engineer
Cerner Corporation
Kansas City, Missouri
10.2018 - 12.2020
- Developed and maintained enterprise-scale healthcare IT solutions serving millions of patients across hospital networks nationwide
- Collaborated with cross-functional teams to build secure, HIPAA-compliant applications for electronic health records (EHR), clinical decision support systems, and patient data management platforms
- Architected RESTful APIs and microservices handling 50K+ daily transactions for real-time patient data synchronization across multi-site hospital deployments
- Engineered backend systems for clinical workflows, reducing physician documentation time by 25% through intelligent form pre-population and data validation
- Built scalable data pipelines processing HL7/FHIR healthcare data standards, enabling seamless interoperability between disparate health systems
- Led migration of legacy monolithic applications to containerized microservices architecture using Kubernetes, improving deployment frequency by 3x
- Implemented caching strategies and database optimizations that reduced API response times by 40%
- Participated in on-call rotations supporting mission-critical healthcare systems with 99.99% uptime requirements
Education
Master of Science - Computer Science
University of Florida
Gainesville, Florida, FL01-2018
Bachelor of Science - Computer Science
University of Central Florida
Orlando, FL01-2016
Skills
- Artificial intelligence
- Machine learning
- Natural language processing
- Cross-modal AI frameworks
- AI consulting
- Document automation solutions
- Project management
- Neural networks
- Algorithm development
- Data science
- Reinforcement learning
- Deep learning
- Artificial intelligence research
- Data analytics
- Software development
- Python programming
- Image processing
- Robotics engineering
- Data visualization
- Python coding
- PyTorch
- TensorFlow
- LLMs
- GPT/Claude/LLaMA
- RAG
- LangChain
- Vector Databases
- Pinecone
Timeline
Senior AI/ML Engineer
Lumina AI
03.2023 - 12.2025
Senior Software Engineer
LATO AI
04.2021 - 02.2023
Full Stack Engineer
Cerner Corporation
10.2018 - 12.2020
Master of Science - Computer Science
University of Florida
Bachelor of Science - Computer Science
University of Central Florida