Hema Reddy
Data Scientist & Machine Learning Engineer | AWS Certified | AI Infrastructure | Kubernetes, CI/CD, Model Serving, Observability | Python, PyTorch, AWS, GCP, Azure
- Role
- Data Engineer at NVIDIA
- Location
- Los Angeles, CA, US
- LinkedIn followers
- 500 followers
About Hema Reddy
Hi, my name is Hema! I\'m a Supply Chain and Procurement professional with hands-on…
Experience
Data Engineer
Jun 2024 — Present
Engineered real-time ML pipelines using Apache Spark (PySpark, Structured Streaming, Spark MLlib), XGBoost, and Kafka to reduce risk classification latency by 23%, enabling faster product experimentation and decision-making.• Deployed containerized inference services with FastAPI, Docker, and AWS Lambda, orchestrated on Kubernetes, cutting model serving latency by 45% and improving responsiveness for real-time platform features.• Orchestrated ML workflows in Apache Airflow with optimized retry logic, logging, and Terraform managed infrastructure, including CI/CD via GitLab and Jenkins, improving reliability and reducing recovery time from failures by 30%.• Built low-latency ingestion pipelines from REST APIs, AWS Kinesis Data Streams, and SQL Server into Snowflake Cloud Data Platform using PySpark streaming, AWS Glue, and transformations in dbt, reducing data availability from hours to under 10 minutes.• Developed Power BI dashboards with Row-Level Security (RLS) and Tableau views to monitor drift metrics, KPIs, and performance, improving visibility for engineering and analytics stakeholders.• Applied Great Expectations for schema validation, feature engineering quality checks, and time series data profiling, reducing pre-deployment issues by 35%.• Leveraged Pandas and Jupyter Notebook for exploratory analysis and scikit-learn model benchmarking, enhancing model reproducibility and documentation.
Education
University of North Texas
Master's degree
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