Mid-level Machine Learning Engineer specializing in MLOps, NLP, and Computer Vision
USAMachine Learning Engineer5 years experienceMid-LevelRetailHealthcareFinancial Services
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About
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.
Experience
Machine Learning EngineerWalmart
Machine Learning EngineerCVS Health
Machine Learning EngineerHDFC Bank
Education
University of New Havenmaster, Data Science
Bharath Institute of Higher Education and Researchbachelor, Electronics and Communications Engineering
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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