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Sharath Nyalakonda
Mid-level AI/ML Engineer specializing in NLP, graph models, and MLOps for FinTech and Healthcare
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About
AI/ML engineer who has deployed production LLM/transformer-based systems for merchant intelligence and fraud/support optimization, delivering +27% merchant engagement and +18% payment success. Deep experience in privacy-preserving, PCI DSS-compliant data/ML pipelines (Airflow, AWS Glue, Spark, Delta Lake) and scalable microservices on Kubernetes, plus proven cross-functional delivery in healthcare claims analytics at UnitedHealth Group (12% HEDIS claim reduction).
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Key Strengths
- Built and deployed AI-driven merchant intelligence assistant integrating web/API/payment dashboard data
- Drove measurable business impact: +27% merchant engagement and +18% payment success rate
- Designed scalable, PCI DSS-compliant, privacy-preserving ETL/feature pipelines (Airflow, AWS Glue, Spark, Delta Lake)
- Production-grade MLOps: automated hyperparameter tuning, experiment management, reproducibility, and explainability
- Deployed containerized AI microservices with high availability/low latency using Docker and Kubernetes
- Applied advanced privacy techniques (differential privacy, federated learning, synthetic data) while maintaining model performance
- Strong cross-functional delivery in healthcare: partnered with clinical/compliance/claims teams; improved claims processing and reduced HEDIS claims by 12%
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