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Santhosh Reddy
Mid-level AI/ML Engineer specializing in deep learning, NLP/LLMs, and MLOps
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About
Built and shipped a real-time oncology risk prediction system used by doctors during patient visits, trained on clinical data in AWS SageMaker and deployed via FastAPI with sub-second responses. Emphasizes clinician-trust features (SHAP explainability, validation checks) and HIPAA-compliant controls (encryption, RBAC, audit logging), plus Kubernetes-based production operations with autoscaling, monitoring, and drift/retraining workflows; collaborated closely with oncologists at Flatiron Health.
Experience
Education
Key Strengths
- Built and deployed real-time oncology risk model with sub-second inference
- Strong healthcare/clinical ML experience with HIPAA-compliant deployment practices
- Implemented explainable ML for clinician trust using SHAP and validation checks
- Production orchestration with Kubernetes (autoscaling, reliability probes, CI/CD automation)
- Reliability-focused ML ops: monitoring, drift detection, automated restarts/retraining triggers
- Structured approach to AI agent/workflow testing with edge cases and measurable metrics
- Effective collaboration with non-technical stakeholders (oncologists) to drive adoption
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