Summary
Amitabha Chakravarty is a Senior Principal Software Engineer based in Bengaluru with a hands-on leadership track record spanning three decades across networking, telecom, and cloud domains. He blends deep systems and protocol expertise from early work on PBXs, GSM/Iridium projects and Cisco routing with modern cloud-native and NFV/SDN architectures at Juniper and Fujitsu. In recent years he has focused on applying AI/ML to networking problems—particularly reinforcement learning for SLA management, network slicing resource optimization for 5G, and NLP/deep learning for event/log analytics. Known for shipping distributed, scalable monitoring and orchestration components (including fault and performance telemetry for service orchestrators), he moves seamlessly between low-level C++ systems and data-driven pipelines using Spark, Kubernetes and cloud platforms. An independent researcher and lifelong tinkerer, he combines rigorous academic foundations from IIT Delhi with practical product delivery across startups and large vendors, often surfacing non-obvious operational insights from network telemetry.
8 years of coding experience
32 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)
Machine Learning Engineer Nanodegree, Machine Learning Engineer Nanodegree at Udacity
B.E Electronics Engineering, B.E Electronics Engineering at Jadavpur University
Patha Bhavan