About Me

Hello 👋, my name is Christian Di Lorenzo. I’m an AI/ML applied scientist and software engineer with experience across the technology spectrum from cloud-native machine learning to full-stack web apps and much in between. Combining my formal training in data science and software engineering with a passion for domain expertise, I have played critical roles in the following production software:

• LLM-based medical insurance appeal drafting with faithful medical record sourcing, medical guideline citations, and denial-specific rationale (Infinia ML)
• Full extraction of fields and data in UB-04 documents with integrated coding systems, e.g. ICD-10-CM (Infinia ML)
• An ML pipeline for automatic extraction of critical details in legal documents (Tracker @ Infinia ML)
• End-to-end, cloud-native, self-training classification and 2-stage NER models for medical documents (PrecisionOCR @ Infinia ML)
• Full-stack features and Python SDK for a precision health cloud that enables genomic-based research (PHC @ LifeOmic)
• Data visualization overhaul from concept to implementation of intermittent fasting data for millions of mobile users (LIFE / LIFE Extend @ LifeOmic)
• Retrospective observational study of thousands of real-world intermittent fasting users (JMIR)
• Full-stack and ML features for DevSecOps product that enables scalable, proactive security for large companies (JupiterOne)
• Consulting projects in agriculture (iOS, FieldX), aerospace (iOS, Panasonic Weather Solutions), obstacle course racing (Web, NinjaMaster), and more (RoleModel Software)

Early Career

Even while in high school, I graduated as the youngest attendee of the first Software Craftsmanship Academy in 2012 with training across three different environments (iOS, JavaScript, and Ruby on Rails). My parents homeschooled me with a drive for excellence in all things for Christ, tailoring my education towards my strengths and pushing me to be well-rounded in interpersonal as well as technical skills. I completed my B.S. in Computer Science and M.S. in Data Science from Regis University while simultaneously working across sometimes five languages to produce native iOS apps, full-stack web apps, and data analytics for a project company.