Full Stack Developer at Capital One

I integrated machine learning APIs into enterprise-grade Java and React applications, enabling automated insights and decision triggers that shortened processing time by 35% and improved client response rates. I refined backend logic using Spring Boot and Python microservices to handle real-time AI model inference with latency below 200ms during high-volume traffic. I enhanced personalization modules via LLM-based recommendation engines and vector search, contributing to $1.1M in incremental annual revenue. I restructured data pipelines with Kafka and Airflow for predictive analytics, enabling seamless synchronization between transactional databases and TensorFlow models. I introduced anomaly detection layers into financial dashboards using scikit-learn and FastAPI endpoints, reducing manual fraud review time by 42% and saving $600K yearly. I orchestrated secure AI deployment through Docker and Kubernetes, applying MLOps with MLflow to monitor drift and sustain 99.8% model uptime in pr