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Gopi Krishna Anne

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St. Louis, Missouri, United States

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Jobs verified_user 0% verified
  • UnitedHealth Group
    AI/ML Engineer
    UnitedHealth Group
    Jun 2025 - Current (1 year)
    Led feature engineering and model tuning for Optum AI Claims Optimizer using PyTorch and XGBoost, cutting processing time by focusing on key data patterns without overcomplicating the setup. Built predictive models for chronic disease analytics with TensorFlow, incorporating advanced time-series forecasting techniques to help forecast patient needs accurately. Designed MLOps workflows for the Virtual Health Assistant update via MLflow and SageMaker, ensuring smooth model deployment and monitoring in production. Supported enterprise data fabric development on Snowflake and Databricks, using optimized SQL queries and PySpark scripts to enable seamless data sharing across teams. Implemented advanced anomaly detection in enterprise cybersecurit
  • Dell Technologies
    Data Scientist
    Dell Technologies
    Nov 2020 - Jul 2023 (2 years 9 months)
    Developed feature engineering for predictive analytics in capacity planning, using Scikit-learn and XGBoost to forecast hardware needs and reduce downtime. Optimized advanced deep learning models for MLPerf benchmark evaluations on Dell PowerEdge servers using Keras and PyTorch, focusing on significant inference performance improvements. Built intelligent anomaly detection systems for enterprise security enhancements via LightGBM, seamlessly integrating with real-time data streams from Apache Kafka clusters. Created NLP pipelines for conversational AI projects using SpaCy and NLTK, improving user interaction in automation tools. Managed complex ETL processes on Databricks and Snowflake using Apache Airflow, ensuring high-quality, clean data
  • D
    Data Engineer
    May 2019 - Oct 2020 (1 year 6 months)
    Designed scalable ETL pipelines using Apache Airflow and Talend to efficiently ingest and transform data for edge computing initiatives, supporting modular and distributed data centers globally. Optimized big data processing workflows with PySpark and Hadoop for efficiently handling telemetry from new server designs, significantly improving system-wide data processing efficiency metrics. Integrated high-throughput real-time streaming systems via Apache Kafka for the Streaming Data Platform, enabling faster analysis and actionable insights from dynamic edge data streams. Managed and optimized cloud data platforms on AWS Glue and Redshift, effectively facilitating secure multi-cloud strategies for advanced 5G and enterprise AI workloads. Perf
Education verified_user 0% verified
  • Southeast Missouri State University
    Masters in Computer Science
    Southeast Missouri State University
    Aug 2023 - May 2025 (1 year 10 months)
    Missouri, USA