Pushpalika
Pushpalika Chatterjee is a Senior Software Engineering Manager specializing in real-time payments, microservices architecture, and AI-driven financial systems. She has led critical initiatives across Huntington National Bank, U.S. Bank, Global Paymen
Pushpalika Chatterjee is a Senior Software Engineering Manager specializing in real-time payments, microservices architecture, and AI-driven financial systems. She has led critical initiatives across Huntington National Bank, U.S. Bank, Global Paymen

Achievements

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Modern Full-Stack Web Architecture with Node.js and ReactJS

Books by Mohit Menghnani , Bharath Kumar Reddy Janumpally

Modern Full-Stack Web Architecture with Node.js and ReactJS is an extensive reference of how to design, develop and deploy scalable, maintainable and high-performance web applications. The book starts with the background of full-stack architecture including Node.js, ReactJS, REST, and GraphQL APIs. It then explores the principles of scalable systems design, software architecture, and configuration and API versioning best practices. Readers get to know how to c

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Next Tech Chronicles: Quantum, Cyber, VFX & VR for a Digital Tomorrow

Books by Dr. Sumeet Mathur, Dr. Jerome J Needhipathi, Sudhakar Vuriti

Next Tech Chronicles: Quantum, Cyber, VFX & VR for a Digital Tomorrow explores the forefront of technological innovation shaping our digital future. The book begins with quantum computing, explaining its principles, algorithms, and transformative potential beyond classical systems. It then delves into cybersecurity, addressing evolving threats, AI-driven defense, and ethical data governance. The third chapter unveils the artistry and science of visual effects

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AI-Powered Infrastructure for the Future of Fintech

Books by Pushpalika Chatterjee

This book provides a comprehensive exploration of artificial intelligence in financial technology, bridging foundational concepts, core architectures, and advanced applications. Part I introduces the evolution of fintech, AI’s role in reshaping services, and the regulatory landscape, highlighting compliance, explainability, and global frameworks. Part II delves into enabling technologies, including AI-driven payment infrastructures, microservices, event-

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Next Tech Chronicles: Quantum, Cyber, VFX & VR for a Digital Tomorrow

Books by Dr. Sumeet Mathur, Dr. Jerome J Needhipathi, Sudhakar Vuriti

Next Tech Chronicles: Quantum, Cyber, VFX & VR for a Digital Tomorrow explores the forefront of technological innovation shaping our digital future. The book begins with quantum computing, explaining its principles, algorithms, and transformative potential beyond classical systems. It then delves into cybersecurity, addressing evolving threats, AI-driven defense, and ethical data governance. The third chapter unveils the artistry and science of visual effects

Read More... Buy Now

Modern Full-Stack Web Architecture with Node.js and ReactJS

Books by Mohit Menghnani , Bharath Kumar Reddy Janumpally

Modern Full-Stack Web Architecture with Node.js and ReactJS is an extensive reference of how to design, develop and deploy scalable, maintainable and high-performance web applications. The book starts with the background of full-stack architecture including Node.js, ReactJS, REST, and GraphQL APIs. It then explores the principles of scalable systems design, software architecture, and configuration and API versioning best practices. Readers get to know how to c

Read More... Buy Now

AI-Powered Infrastructure for the Future of Fintech

Books by Pushpalika Chatterjee

This book provides a comprehensive exploration of artificial intelligence in financial technology, bridging foundational concepts, core architectures, and advanced applications. Part I introduces the evolution of fintech, AI’s role in reshaping services, and the regulatory landscape, highlighting compliance, explainability, and global frameworks. Part II delves into enabling technologies, including AI-driven payment infrastructures, microservices, event-

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Transforming Oil and Gas with AI: Insights, Applications, and Solutions

Books by Pankaj Verma, Krishna Gandhi

This book gives a thorough rundown of the ways Artificial Intelligence (AI) is changing the Oil and Gas (O&G) sector.  It discusses how AI can be integrated into upstream, midstream, and downstream operations, with an emphasis on applications like as production optimization, smart drilling, seismic data processing, and predictive maintenance. The book discusses essential AI technologies such as Machine Learning, Computer Vision, Natural Language Processin

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AI Driven Healthcare: Innovations, Challenges and Future Prospects

Books by Harshit Kohli And Chitrangadaa Singh Kohli

This book AI Driven Healthcare: Innovations, Challenges and Future Prospects discusses the revolution that the artificial intelligence is making on the healthcare. It first discusses how AI impacts diagnostics, imaging, drug discovery, surgery and personalized medicine known as how intelligent systems guide clinical decision making and enhance its outcome. Next, the book explains how AI can cut down the time taken in healthcare by way of streamlining hospital

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Future-Proofing Industries: AI-Driven Security, ERP, and Risk Management

Books by Ashish Joon, Harshit Kohli

Future Proofing Industries: AI-Driven Security, ERP and Risk Management discusses how artificial intelligence is reshaping the ability of enterprises to cope with complexities in the digital world. Cybersecurity is the main topic in the beginning, where AI is shown to help detect threats instantly, monitor with biometrics and address issues related to ethics. This section continues with ERP systems using AI, focusing on intelligent automation, improving the su

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Generative AI Agents: Foundations and Applications

Books by Rajiv Kumar

This book offers a wide-ranging study of generative AI agents, a trip from fundamental principles to practical implementations in the real world. Part I presents fundamental concepts, development of generative agents, machine mechanics, and major problems. Part II dives into technical aspects including RAG, agent architectures, memory systems, and fine tuning techniques, including cross-domain abilities. Part III presents real use cases from the industries in

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HVAC and Energy Efficiency: A Practical Guide for Engineers and Facility Managers

Books by Jaymin Pareshkumar Shah

Here, this book offers a complete guide teaching basic knowledge, advanced strategies and future trends for energy efficiency in HVAC systems. The book starts with a few introductory chapters that discuss HVAC fundamentals; the context is greatly on the rising importance of energy efficiency, the roles of engineers and facility managers. The following chapters explore how system design, load prediction, and technologies that increase heating and cooling perfor

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Engineering Insights: Cloud-Enabled BI for Critical Industry Transformation

Books by Sethu Sesha Synam Neeli

Engineering Insights: Cloud-Enabled BI for Critical Industry Transformation explores the evolution, architecture and real world applications of Cloud Business Intelligence (BI) across important industries. Cloud BI in itself is introduced, its advantages (over traditional BI) and its essential components in the book’s first part. Next, it tackles building scalable Cloud BI architectures that provide a good data quality, security, and optimization of perf

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Data Engineering with A Focus on Scalable Platforms and Real-Time Analytics

Books by Amarnath Immadisetty

The book covers data engineering types and their integration with scalable infrastructure and real-time analytics. It also shows how data engineering has evolved from traditional ETL processes to cloud-based distributed infrastructures and data ingestion, transformation, orchestration, and governance. It gives details of the roles and responsibilities of a data engineer, the role of big data technologies like Apache Kafka, Spark and cloud solutions, and the im

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AI Nexus: Merging Intelligence, Security, and Networking

Books by Gopalakrishna Karamchand, Satish Chitimoju

This book discusses how AI-based intelligence continues to revolutionise modern networked systems using cybersecurity, networking, and AI. It explains how AI improves networking, resource allocation, and security.

First, the book outlines the inevitable growth of networking technology as AI is needed to govern system complexity. This book then discusses AI-driven network optimisation strategies like traffic management, predictive analytics, and autonom

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From Raw to Refined: The Art and Science of Data Engineering

Books by Srinivas Murri

This book details data engineering from data collection to insights. A practical reference for data engineers, IT professionals, and analysts to master modern data engineering basics and advanced approaches. 
This book provides a strong start by introducing data engineering's evolution, fundamental principles, and critical technologies. Next, data acquisition and storage are examined, covering data extraction, relational vs. NoSQL databases, and cloud

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Cloud Technologies with a Focus on AI Integration and Automation

Books by Vidyasagar Vangala

This book gives a complete view of how AI is evolving to turn cloud computing and automation on their head. Moving on, it covers cloud fundamentals including architecture, service models (IaaS, PaaS, SaaS), and deployment strategies (public, private, hybrid, and multi cloud). AI is integrated in the cloud which includes AIaaS, machine learning, NLP, and data processing. Such tools as DevOps, Infrastructure as Code (IaC), and AI driven automation tools such as

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Cloud Database Security: Integrating Deep Learning and Machine Learning for Threat Detection and Prevention

Books by Rajendra Prasad Sola, Nihar Malali, Praveen Madugula

The topic of this book is the evolving landscape of cloud database security and its role in the threat of cyber-attacks by artificial intelligence (AI). It begins with the introduction of basic cloud computing concepts, points out the significant security problems, and describes data protection as important. The authors delve into deep learning (DL) and machine learning (ML) techniques for real-time threat detection, anomaly identification, and intrusion preve

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