Yashwanth Reddy Boddireddy

Master's

Data Science

VMware

senior data scientist

• Engineered a scalable MLOps platform (Docker, Kubernetes, Jenkins, Airflow) delivering 50K+ real-time inferences/day with 80% faster rollouts, zero-downtime CI/CD, and less than 5% prediction error. • Boosted ML performance by 22% F1 via large-scale feature engineering (SageMaker, EMR, Dask, MLflow) and achieved 94% accuracy in time-series models and 28% higher precision in anomaly detection. • Automated 120+ ML pipelines across 500+ systems (Airflow, Databricks) and containerized 30+ microservices, processing 3 TB/day of telemetry to accelerate training and iteration. • Delivered RAG-based LLM assistant and API solutions (OpenAI, LangChain), parsed 1 TB+ logs with TensorFlow anomaly detection, and created dashboards that drove 15% retention lift and informed $5 M+ investments.