I am a Data Scientist and Machine Learning Engineer with a PhD in Machine Learning and over five years of experience in aviation, industrial automation, and AI product development. My background combines strong technical expertise in predictive modeling, optimization, anomaly detection, and LLM/GenAI applications with practical experience delivering large-scale aviation system implementations. At KeepFlying, I led the end-to-end delivery of predictive maintenance platforms and reliability dashboards for airlines, MROs, and lessors, managing customer accounts including an Engine OEM and Engine MRO, aligning KPIs, and ensuring system adoption. Technically, I have built and deployed ML models using Python, PyTorch, and TensorFlow, implemented pipelines with Azure Databricks, and delivered solutions through APIs and dashboards for business users. My career focus is on bridging advanced ML with real-world adoption by collaborating closely with customers, engineers, and product teams, helping organizations unlock value from structured and unstructured data.