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Harshavardhan Reddy
Mid-level AI/ML Data Scientist specializing in NLP, computer vision, and risk analytics
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About
ML/AI engineer with Capital One experience building production-grade customer segmentation and fraud detection systems combining NLP (transformers) and anomaly detection. Strong MLOps and orchestration background (PySpark ETL, MLflow, Airflow, Docker/Kubernetes, Azure ML) with real-time monitoring/alerting and performance optimizations like quantization and caching, plus proven ability to deliver business-facing insights through Power BI/Tableau for marketing stakeholders.
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Key Strengths
- Built and deployed production ML/NLP systems for customer segmentation and fraud/anomaly detection at Capital One
- End-to-end MLOps implementation (ETL in PySpark, versioning with MLflow, containerized deployment with Docker/Kubernetes on Azure ML)
- Designed scalable real-time monitoring/alerting with auto-scaling and custom logging
- Operational reliability in orchestration (Airflow retries, idempotent tasks, failure alerting via Slack/email)
- Performance optimization in production (model quantization, caching, handling high-load traffic)
- Strong experimentation and evaluation discipline (cross-validation, A/B testing, simulations, KPI-driven metrics)
- Effective collaboration with non-technical stakeholders; translated model outputs into actionable insights via Power BI/Tableau dashboards
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