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Rushi Reddy Lambu
Mid-level AI/ML Engineer specializing in Generative AI and MLOps
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About
GenAI/LLM engineer and architect who built and deployed a production generative AI financial forecasting and scenario analysis platform at McKinsey, leveraging Claude (Anthropic), LangChain, Airflow, MLflow, and AWS SageMaker. Demonstrates strong LLMOps/MLOps rigor (monitoring, drift detection, automated retraining) and deep experience implementing global privacy controls (GDPR, differential privacy, audit trails) while partnering closely with finance executives and legal/IT stakeholders.
Experience
Education
Key Strengths
- Architected and deployed a GenAI financial forecasting & scenario analysis platform in production at McKinsey
- End-to-end MLOps/LLMOps orchestration using Airflow + LangChain + MLflow (ingestion through deployment)
- Reduced model deployment time by 35%+ via automated pipelines and reproducible releases
- Designed real-time validation/feedback loops against live market data to improve interpretability and performance
- Strong global data privacy implementation (GDPR segmentation, approved data centers, anonymization/masking, differential privacy, audit logging, encryption)
- Built monitoring and drift-detection with Prometheus and automated retraining pipelines to handle concept drift
- Able to translate technical AI metrics into business outcomes using dashboards and stakeholder-friendly communication
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