Experience

  1. Senior Data Scientist

    ModernaTX
    Lead architecture and productionization of enterprise AI systems spanning GenAI/RAG, retrieval and evaluation, governed enterprise knowledge, cloud ML services, observability, and production reliability. I also own modernization and reliability work for production forecasting workflows and reusable ML operating patterns.

  2. Senior Data Scientist

    Infor
    Developed and productionized end-to-end machine learning solutions in AWS and helped turn applied ML concepts into deployable capabilities using repeatable MLOps practices.

  3. Data Scientist

    Lowe's Home Improvement
    Built cloud-based machine learning applications and applied statistical modeling and demand forecasting to operational business problems.

  4. Graduate Research Assistant

    Clemson University
    • Aggregated 97 million medical concepts from databases like UMLS to create a targeted dataset for link relationship prediction in the biomedical domain.
    • Designed probabilistic feature extraction methods for entity relationship data, improving prediction accuracy by 30%.
    • Developed a state-of-the-art multilevel SVM library for large and imbalanced datasets in collaboration with BMW Group, achieving 100x faster runtime than LIBSVM.
    • Built an ML pipeline for text categorization using Python, C++, NLTK, SVD, and SVM for BMW Group.
    • Improved classification quality by 15% and 33% on two minority classes of BMW Group customer surveys.

  5. Senior Technical Engineer

    Hamrahe Aval
    • Redesigned the service flow of wireless access gateways, firewalls, and load balancers to enhance network scalability and performance.
    • Improved Internet service quality for over 20 million users, reducing service downtimes by 40% through innovative rerouting strategies.

  6. Technical Engineer

    Huawei Technologies Co.
    • Enhanced service quality by planning and executing service migrations and network upgrades.
    • Reduced network latency and improved customer satisfaction by optimizing network flow and performance.

Education

  1. PhD Biomedical Data Science and Informatics

    Joint program from Clemson University and Medical University of South Carolina
    Focused on scalable machine learning applications in text mining and health care.

  2. MS Computer Science

    Clemson University
    Developed scalable algorithms for machine learning, with a focus on health care and text mining applications.

  3. BSc Software Engineering

    IAU
    Built a solid foundation in software engineering concepts and practices.