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Dheeraj Kandagatla
Mid-level AI/ML Engineer specializing in applied AI for banking and healthcare
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About
Built end-to-end AI products across fintech and healthcare, including a real-time loan risk prediction system and a patient feedback insights platform. Stands out for combining full-stack delivery, production ML/MLOps on AWS, and pragmatic human-in-the-loop safeguards; reported a 22% improvement in prediction accuracy.
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Key Strengths
- Owned end-to-end full-stack loan risk prediction system
- Built real-time ML APIs and React dashboards for business users
- Designed structured data entities for downstream consumption
- Used TypeScript interfaces for type-safe frontend/backend contracts
- Improved prediction accuracy by 22%
- Shipped production ML systems on AWS SageMaker and Lambda
- Built AI pipelines spanning feature engineering, training, deployment, and monitoring
- Designed LLM/NLP workflow with RAG-style grounding for healthcare feedback insights
- Implemented confidence thresholds and human review routing for low-confidence outputs
- Monitored production AI with accuracy, precision, and F1 metrics
- Diagnosed model regression and improved preprocessing, normalization, and classification logic
- Strong judgment on hybrid AI vs human-in-the-loop decisions in sensitive workflows
- Aligned cross-functional stakeholders in ambiguous early-stage environments
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