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sri venkata naga jahnavi Bandla
Mid-level AI/ML Engineer specializing in cybersecurity and fraud analytics
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About
AI/ML engineer with production experience across both classical ML and Generative AI, including a real-time banking fraud detection platform at Deloitte and a RAG-based cybersecurity threat analysis feature at Accenture. Stands out for owning systems end-to-end—from feature pipelines and model tuning through deployment, monitoring, retraining, and API/platform reliability—with measurable impact on fraud accuracy, false positives, and SOC analyst efficiency.
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Key Strengths
- End-to-end ownership of production ML systems
- Real-time fraud detection at scale
- Processed 10 million transactions daily
- Achieved ~95% fraud detection accuracy
- Reduced fraud false positives by 50%
- Strong MLOps and monitoring implementation
- Production RAG/LLM systems for cybersecurity
- Improved SOC analyst investigation efficiency
- Balances latency, cost, quality, and safety in GenAI systems
- Builds reusable Python services used across teams
- Strong testing and CI/CD discipline for ML services
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