Mayank Kumar

About Mayank Kumar

I am an Applied Machine Learning Engineer currently working as Scientist-B at the Centre for Development of Telematics (C-DOT), where I design and deploy production-grade ML systems for real-time behavioral analytics and anomaly detection.My work focuses on building scalable machine learning pipelines across high-volume telemetry environments, transitioning from rule-based systems to unsupervised learning approaches that significantly improve detection robustness and reduce false positives. I manage the complete ML lifecycle, including feature engineering, model development, versioning, deployment, and monitoring in production systems.In addition to my industry work, I am a published author of peer-reviewed research in federated learning, adversarial machine learning, and phishing detection, with papers presented at conferences such as ICONIP, IJCNN, and SINCOF.I am particularly interested in building scalable AI systems, production ML infrastructure, and real-time data-driven applications.

Experience

1. Scientist-b

   Centre For Development Of Telematics C-Dot

   Aug 2023 — Present · Delhi, IN

   Led the end-to-end design and deployment of ML-driven User and Entity Behavior Analytics (UEBA) systems for real-time anomaly detection across enterprise-scale telemetry.Replaced rule-based detection with unsupervised learning models, reducing false positives by 90% and improving detection robustness through continuous retraining pipelines.Built and deployed scalable ML services using FastAPI and Docker, implementing model serving, real-time data pipelines, and performance monitoring in production environments.Owned the complete ML lifecycle including feature engineering, model training, versioning, deployment, and monitoring, while mentoring junior scientists.

Education

• Jawahar Navodaya Vidyalaya - JNV

  Secondary, Mathematics

• Indian Institute of Technology Jammu

  Master of Technology - MTech, Computer Science and Engineering

• Jawahar Navodaya Vidyalaya - JNV

  Intermediate, Theoretical and Mathematical Physics

• Government Engineering College, Jhalawar

  Bachelor of Technology, Computer Science