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Chandra Kiran
Machine Learning Engineer @Cigna Healthcare
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WORK HISTORY
Machine Learning Engineer @Cigna Healthcare
Designed, developed, and deployed end-to-end machine learning pipelines including data ingestion, feature engineering, model training, validation, and deployment using Python, PyTorch, and AWS SageMaker.• Built scalable training and inference workflows using Docker, Kubernetes, and MLflow to enable experiment tracking, reproducibility, and controlled model releases.• Optimized inference performance for production ML workloads using GPU acceleration and quantization techniques, reducing latency by ~35%.• Developed data processing and feature engineering pipelines using Apache Spark and SQL to support large-scale healthcare datasets.• Collaborated with data engineering, product, and clinical stakeholders to translate business and regulatory requirements into deployable ML solutions.
EDUCATION
Vellore Institute of Technology
Bachelor's degree, electronics and communication engineering
University of North Texas
Master's Degree, Computer Science
ABOUT CHANDRA KIRAN
Machine Learning Engineer (AI/ML) with 3+ years of experience designing, building, and deploying production-grade machine learning systems across healthcare and enterprise domains. Strong background in end-to-end ML lifecycle management, including data engineering, model development, MLOps, and scalable deployment on cloud platforms. Proven expertise in Python, PyTorch, TensorFlow, Spark, and AWS, with experience optimizing deep learning and NLP models for performance, latency, and reliability.
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