ICITET 2024

Works with neural data from rat's brain using computational methods and dimensionality reduction techniques.

Developed novel bRNN decoders for neural calcium signals during emotional memory tasks.

Holds a PhD in Artificial Intelligence from Tokyo Institute of Technology and Master's in Cognitive Neuroscience from National Central University, Taiwan.

Anusha Nerella is a forward-thinking software engineer who has delivered enterprise-grade solutions across government and global financial institutions. She began her career at the U.S. Patent and Trademark Office, contributing to large-scale modernization initiatives that improved the scalability and reliability of legacy systems.

She later held key engineering roles at Citibank and Barclays, driving application modernization and integrating machine learning into legacy platforms as part of large-scale digital transformation efforts. Her work spanned cloud-native architectures, real-time data platforms, automation, and analytics in highly regulated environments.

She is currently working with a major global fintech firm, focusing on institutional trading systems, advanced market data infrastructure, and intelligent automation for high-performance financial platforms.

Currently works at Risk Guard Enterprise Solutions (OPC) Private Limited as a Director since over 1 year. Currently also works at RGESIndia as a Director since over 1 year. Previously worked at Claro Software Solutions Pvt Ltd, Angel Broking and 3 others. Expert in cybersecurity and information technology.

Works with neural data from rat's brain using computational methods and dimensionality reduction techniques.

Developed novel bRNN decoders for neural calcium signals during emotional memory tasks.

Holds a PhD in Artificial Intelligence from Tokyo Institute of Technology and Master's in Cognitive Neuroscience from National Central University, Taiwan.

Anusha Nerella is a forward-thinking software engineer who has delivered enterprise-grade solutions across government and global financial institutions. She began her career at the U.S. Patent and Trademark Office, contributing to large-scale modernization initiatives that improved the scalability and reliability of legacy systems.

She later held key engineering roles at Citibank and Barclays, driving application modernization and integrating machine learning into legacy platforms as part of large-scale digital transformation efforts. Her work spanned cloud-native architectures, real-time data platforms, automation, and analytics in highly regulated environments.

She is currently working with a major global fintech firm, focusing on institutional trading systems, advanced market data infrastructure, and intelligent automation for high-performance financial platforms.