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Chakradhar Nidujuvvi
Mid-Level Software Engineer specializing in Java, Spring Boot, and AWS
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Built and deployed a production credit card fraud detection platform that scores transactions in real time using TensorFlow/scikit-learn models exposed via a Spring Boot REST API, with strict SLAs, fallback to legacy rules, and Splunk-based monitoring/drift tracking. Also has enterprise orchestration experience with TIBCO BusinessWorks (BW 6.6/BWCE), coordinating REST/SOAP services and JMS messaging (TIBCO EMS) with robust error handling and compensation logic.
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Key Strengths
- Built and deployed production-grade credit card fraud detection system for real-time scoring
- Handled highly imbalanced fraud data (<1%) using precision-recall-focused evaluation
- Enterprise integration of ML into legacy rule-based systems via Spring Boot REST API with SLAs and safe fallback
- Production monitoring and reliability practices (Splunk dashboards, timeouts, error-rate/latency tracking, drift detection, scheduled retraining)
- Orchestrated end-to-end enterprise workflows using TIBCO BusinessWorks across REST/SOAP and JMS (TIBCO EMS)
- Strong stakeholder communication: translated business goals (reduce false alerts) into model metrics and iterated via dashboards/feedback
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