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Ravikanth Rudrabhatla has more than 15 years of experience in development and engineering management. He is a passionate leader in the network security domain and his expertise lies in high-performance packet processing, leveraging DPDK to optimize intrusion detection and prevention systems like Snort and Suricata. Ravikanth has a proven track record of developing and integrating machine learning modules for advanced threat detection at Trellix, demonstrating a deep understanding of feature engineering, model training, and real-time inference optimization. Beyond his professional work, Ravikanth is an avid learner, actively explores emerging technologies, engages in ethical hacking, and participates in CTFs to stay at the forefront of the ever-evolving security landscape. Ravikanth also enjoys playing table tennis and cycling in his free time.
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