Vivek Kumar — CEO

Data-Driven Technology Leader with 25+ years of experience in the Out-of-Hospital Care industry, with deep expertise in healthcare technology, data science, and end-to-end product innovation. A strong, hands-on leader known for turning ideas into production-grade systems. I’ve architected and scaled global teams from the ground up, filled critical gaps across product and engineering, and driven the delivery of intelligent solutions that improve care quality, efficiency, and decision-making. An engineer at heart, passionate about transforming raw data into actionable insight. I’ve led the development of award-winning and patented AI/ML-powered healthcare solutions, including: • COVID-19 Severity Risk Model • Fall Risk Management System • Change-in-Condition Prediction with Acuity Score • Staff Attrition Prediction • Depression Risk Indicator • Sleep Risk Analysis • Re-Hospitalization Risk Model Core Focus Areas: AI/ML in Healthcare | Product Strategy | Solutions Architecture | Data Science | Software Development | Advanced Analytics | Operational Intelligence | Team Building & Leadership | EHR Systems | Healthcare Billing | Patient Care Planning | JAVA | SQL Server | Patent Development Innovation & Patents (14 U.S. Patents – Granted & Pending) Inventor and contributor to a diverse portfolio of patents in healthcare AI, decision support, and intelligent care systems. These represent both commercialized and exploratory innovations across clinical risk modeling, care planning, EHR automation, and staffing optimization. Granted Patent • US 11,568,976 B1 – Wound Management and Treatment Using Computer Vision and Machine Learning Granted: Jan 31, 2023 Pending Patents • US 2023/0215568 A1 – Systems and Methods for Predicting a Fall • US 2024/0355437 A1 – ML-Based Summarization and Evaluation of Clinical Data • US 2024/0177842 A1 – Computational Models to Predict Facility Scores • US 2024/0086771 A1 – ML to Generate Service Recommendations • US 2023/0316209 A1 – Predicting Caregiver Retention Using Machine Learning • US 2023/0317098 A1 – Activity Charting Using Personal AI Assistants • US 2023/0317222 A1 – ML-Based Electronic Health Record Prediction • US 2023/0307115 A1 – ML for Effective Patient Intervention • US 2023/0307140 A1 – ML for Effective Patient Planning • US 2023/0307141 A1 – Models for Accurate Patient Acuity • US 2023/0298722 A1 – Models to Predict Medication Effectiveness • US 2023/0215551 A1 – ML for Resource Allocation • US 2022/0351846 A1 – System and Method for Determining Retention of Caregivers

Stackforce AI infers this person is a Healthcare Technology Leader with expertise in AI/ML and data-driven solutions.

Location: Windermere, Florida, United States

Experience: 24 yrs 10 mos