R

Ram Kishore Namala

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Overland Park, Kansas, United States

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Résumé

Jobs verified_user 0% verified
  • Aetna
    Machine Learning Engineer
    Aetna
    Aug 2025 - Current (1 year 3 months)
    • Design and maintain high-performance machine learning inference services for chronic disease risk prediction using Python and C++.
    • Build scalable, reliable model serving infrastructure deployed on Azure Machine Learning with Docker containerization and Kubernetes orchestration.
    • Optimize model inference latency and resource utilization through caching, batching, and parallel processing techniques for production workloads.
    • Develop generative AI prototypes using large language models to generate clinical insights and support decision-making for healthcare providers.
    • Implement robust model monitoring dashboards to detect prediction drift, performance degradation, and automate retraining triggers.
    • Collaborate
  • OpenText
    AI Engineer
    OpenText
    Jan 2022 - Jun 2024 (2 years 6 months)
    • Designed and deployed scalable document classification inference systems for enterprise content management using deep learning models.
    • Built distributed model serving infrastructure with FastAPI and Docker to handle high-throughput document processing in production.
    • Applied transfer learning and generative techniques to improve document understanding and multi-class classification accuracy.
    • Optimized TensorFlow models for performance by reducing inference time and memory footprint using quantization and pruning.
    • Developed automated CI/CD pipelines using Azure DevOps for seamless model updates and deployment across environments.
    • Implemented feature engineering and preprocessing workflows to handle scanned
  • NATIONAL INSTITUTE OF ELECTRONICS & INFORMATION TECHNOLOGY (NIELIT)
    Associate AI Engineer
    NATIONAL INSTITUTE OF ELECTRONICS & INFORMATION TECHNOLOGY (NIELIT)
    May 2021 - Nov 2021 (7 months)
    • Assisted in developing machine learning models for student academic performance prediction using Python and Scikit-learn.
    • Collected, cleaned, and transformed structured educational datasets to build reliable training pipelines for classification tasks.
    • Performed exploratory data analysis and feature engineering to improve predictive model accuracy and interpretability.
    • Built and evaluated supervised learning models using cross-validation, precision, recall, and F1-score metrics.
    • Developed visualization reports using Matplotlib to communicate model results and feature importance to stakeholders.
    • Maintained thorough documentation of preprocessing workflows, experiment configurations, and evaluation results
Education verified_user 0% verified
  • University of Central Missouri
    Master of Science in Computer Science
    University of Central Missouri
    Jun 2024 - May 2026 (2 years)
    • Developed foundational proficiency in Java through academic coursework, focusing on object-oriented programming (OOP) principles.
    • Applied Java for building and scaling enterprise backend applications, including the development of REST APIs, microservices, and distributed cloud systems.