Software engineer with full-stack, AI/LLMs, and data science experience, delivering solutions for Fortune 100 companies including CVS, Johnson & Johnson, Procter & Gamble, Progressive, and L'Oréal.
AI Application DevelopmentLLM Structured Output (Classification & Topic Modeling)Automated Media Monitoring & Web Scraping
Experience
AI Full Stack Engineer — Edelman
- Independently design, build, and ship AI-enabled internal applications in a fast-paced environment, streamlining workflows for client teams serving Fortune 100 companies such as Samsung, Johnson & Johnson, and CVS.
- Created a media monitoring platform that automatically scrapes top-tier outlets like The New York Times and The Wall Street Journal, then uses LLMs with structured output to classify coverage and model topics, surfacing shifts in public opinion.
- Automated the generation of periodic reports for account teams, replacing manual media review and giving PR strategists faster, data-driven insight into their clients' media landscape.
Lead Software Engineer — Radius
- Developed a full-stack application using Python, React, JavaScript, HTML, and CSS, integrating OpenAI's large language model (LLM) to automate the coding of thousands of open-ended text responses.
- Founded and led the company's first-ever software engineering team after earning leadership recognition, hiring and mentoring a developer to scale innovative solutions across the organization.
- Led the development of a statistical toolkit application using Python and React.js. The app was deployed on a Linux virtual machine via a REST API and improved the efficiency of a five-person Advanced Analytics team by 20%.
Full Stack Engineer — Radius
- Developed a market simulation app still in use for clients such as CVS, Johnson & Johnson, Procter & Gamble, Progressive, and L'Oréal.
- Built a custom project management app for 200+ projects with change tracking, Salesforce integration, automated notifications, reporting, time-off tracking, and Gantt charts, replacing an Excel-based system; deployed on a Linux cloud server using MySQL.
Statistical Analyst — Radius
- Developed Python scripts leveraging libraries like NumPy, Scikit-learn, and Matplotlib to automate multivariate techniques, including latent class regression, segmentation, perceptual mapping, and max-diff analysis. This enhanced the efficiency of Statistical Analysts by 15%.
- Performed choice modeling: CBC, Adaptive CBC, Menu-Based CBC from design to simulation.
Earlier — Clinical & Research
- Physical Therapist, Per Diem — John T. Mather Memorial Hospital, Port Jefferson, NY
- June 2017 – August 2018
- Physical Therapy Aide — John T. Mather Memorial Hospital, Port Jefferson, NY
- December 2013 – June 2017
- Research and Wellness Intern — RRAMP Lab, Stony Brook, NY · Healthcare research and community education
- January – March 2017
- Clinical Intern — Keep Moving Forward Inc., Garden City, NY · Outpatient pediatric neurology
- June – August 2016
- Claims Manager / Adjuster — Tokio Marine America · Medical and disability workers' compensation case management
- 2011 – 2012
Education
Stony Brook University
Doctor of Physical Therapy — DPT, Physical Therapy/Therapist
2014 – 2017
Saint John's University — Peter J. Tobin College of Business
Bachelor of Science — BS, Business: Risk Management and Insurance
2007 – 2010
Publications
- Augmented mindfulness intervention for overweight / obese children and adolescents
- Clustering of Clusters in Ensemble Segmentation: Which Technique Works Best?
- Feasibility of an Interdisciplinary Family-Centered Adolescent/Young Adult Obesity Intervention
- Novel Biopsychosocial Osteoarthritis Intervention: Case Study