Kennedy Robinson

Championed AI-driven virtual care solutions, deploying five scalable models and MLOps pipelines that improved patient monitoring accuracy by 20–30% while maintaining HIPAA compliance and reducing deployment errors by 90%.

Built GenAI-powered chatbots and automated document extraction pipelines achieving 92%+ accuracy and reduced support response time from 15 to under 3 minutes, automating 70% of repetitive tasks.

Modernized POS and delivery analytics pipelines, increasing throughput by 30%, reducing ingestion failures and latency by ~40%, and delivering PCI-compliant ETL pipelines and predictive demand models that improved forecasting accuracy by 17%.

Built and optimized large-scale ETL pipelines on GCP that improved throughput by 30%, automated near real-time processing reducing manual intervention by 50%, and supported forecasting pipelines that raised accuracy by 15%.

Developed full-stack web applications and backend services for 15+ clients, improving data insights by 25% and reducing legacy system latency by 35% through modernization and ML-driven recommendation engines.

Completed a Master of Science degree at Northeastern University focused on advanced topics in computing and applied machine learning.

Earned a Bachelor of Science degree from Boston College with foundational training in computer science and software engineering principles.