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guna jaswanth maduri
Mid-level Machine Learning Engineer specializing in MLOps, NLP, and Computer Vision
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ML/AI engineer with production experience across retail and healthcare: built a real-time computer-vision shelf monitoring system at Walmart and optimized edge inference latency by ~30% using TensorRT/ONNX and pruning. Also partnered with CVS Health clinical/pharmacy teams to deliver a medication-adherence predictive model, using Streamlit explainability dashboards and achieving an 18% adherence improvement.
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Key Strengths
- Built and deployed real-time computer vision system for product recognition and shelf monitoring in production (Walmart)
- Reduced edge inference latency ~30% via TensorRT/ONNX optimization and model pruning
- End-to-end ML pipeline orchestration with Airflow and Kubeflow (ingestion, training, retraining, alerts, dependency management)
- Reliability-focused ML evaluation: offline validation + live A/B testing, monitoring (Grafana/Prometheus), automated retraining and rollback
- Applied explainability (SHAP/LIME) to validate model behavior and build stakeholder trust
- Delivered medication adherence predictive model with non-technical clinical/pharmacy stakeholders; improved adherence rates by 18%
- Built Streamlit explainability dashboards to translate model outputs into actionable insights
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