mira mamdoh

Led AI/ML model development and deployment initiatives, collaborating with cross-functional teams and mentoring junior members to deliver production-ready solutions across remote projects.

Completed advanced training in generative AI methodologies and deployment strategies, focusing on practical application and model delivery workflows.

Trained on Generative AI tools (OpenAI, Hugging Face) and built text-generation systems using Python and LangChain; developed internal tools that improved data processing and deployment efficiency by 30%.

Developed classification models using scikit-learn and TensorFlow, optimized performance via hyperparameter tuning, and implemented model monitoring and performance tracking systems.

Built predictive models using Python and scikit-learn, performed hyperparameter tuning, and presented findings to technical stakeholders with documented model metrics.

Analyzed structured data using Pandas and SQL to generate actionable insights, created automated reports and dashboards, and ensured data quality across multiple sources.

Applied statistical methods for data analysis and reporting to support research projects and institutional decision-making.

Supported AI initiatives in healthcare by collaborating with medical professionals on data-driven solutions and foundational AI applications.

Activities and societies: Completed projects in Automated Question Generation and Sentiment Analysis; coursework and training in AI/ML, NLP, and MLOps.

Bachelor's degree in Computer Science completed with a focus on Artificial Intelligence, Machine Learning, and NLP, including hands-on projects in generative AI and MLOps.