Sandeep Kumar Lakavath

About Sandeep Kumar Lakavath

As an AI/Machine Learning Engineer at Phillips 66, I focus on designing and deploying predictive maintenance and operational optimization models using machine learning, Python, and XGBoost. I also build and operationalize large-scale AI/ML pipelines with Apache Spark, Pyspark, and Databricks to analyze refinery and energy datasets. My work incorporates Generative AI techniques, NLP solutions using Transformer Models, and tools like spaCy and NLTK for unstructured data analysis. I hold a Master’s degree in Information Technology from Webster University, which complements my practical expertise in AI-driven automation, model optimization, and text analytics. My career reflects a strong commitment to leveraging AI to solve industry-specific challenges while contributing to operational excellence.

Experience

1. Al Machine Learning Engineer

   Phillips 66

   Apr 2025 — Present · Houston, TX, US

   I played a pivotal role in advancing AI/ML capabilities at Phillips 66, focusing on innovative solutions for the energy industry. • Designed deep learning models using TensorFlow and PyTorch for predictive analytics. • Implemented cloud-based AI solutions with AWS SageMaker and Google Vertex AI for scalable experimentation. • Collaborated with cross-functional teams using Agile methodologies to deliver production-ready AI/ML solutions.

Education

• Webster University

  Master's degree, Information Technology