David Estalilla

Senior Applied Machine Learning Engineer with 13 years of experience developing production-grade machine learning systems, behavioral analytics platforms, and AI-driven security solutions across cybersecurity and enterprise software environments. Strong expertise in Python, PyTorch, TensorFlow, scikit-learn, Machine Learning, Deep Learning, Behavioral Analytics, Threat Detection, Identity Security, Security Analytics, Real-Time Streaming Pipelines, MLOps, and cloud-native software engineering. Experienced developing anomaly detection systems, adaptive risk scoring platforms, telemetry analytics pipelines, and AI-driven security applications supporting authentication monitoring, session analytics, and adaptive access enforcement. Proven ability to collaborate with distributed engineering and security teams, translate complex operational and security problems into practical AI solutions, and deliver reliable production-ready systems in fast-paced environments.