About Me
Experienced Machine Learning Research Engineer with over 7 years of research and development expertise in anomaly detection, deep learning, and AI based cybersecurity solutions. Proven track record in designing, implementing, and optimizing ML models for anomaly detection applications, including NLP, Computer Vision, and generative AI. Skilled in unsupervised learning, deep learning architectures, and transfer learning techniques to detect anomalies in complex systems. Proficient in Python, TensorFlow, PyTorch, and deploying ML models in cloud environments like AWS. Adept at leading research publications, collaborating with cross functional teams, and driving innovative solutions in anomaly detection.
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