This skilled Senior Applied Machine Learning Scientist with a master’s and doctoral degree has extensive experience in science and engineering. Recent experience includes collaborating with cross-functional teams to enhance user search experience and drive revenue through accurate product matching with industrial competitors. Systems experience Python, SQL, MATLAB, C++, PyTorch, TensorFlow, Keras, Databricks, Apache Spark, Snowflake, AWS, VS Code, Kubeflow, Colab, GitHub Copilot, Generative AI, Docker, Kubernetes, CI/CD, GitHub Actions, Airflow, Flask, FastAPI, MLflow, Jira and Confluence.

Additional qualifications include:

• Served as full-stack machine learning engineer, which included developing, testing and deploying customer-facing analytical machine learning endpoints and APIs that integrated business logic, models and data
• Contributed to the design and development of insight generation methods leveraging recent technological advancements and utilizing order history, product utilization, competitor cross-reference input and search history data
• Engaged closely with stakeholders, reverse-engineered customer use cases, articulated concepts and facilitated the implementation of scalable machine learning models to address these use cases