Sangeeta Sinha
Barclays AVP
Pune, India
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Having 13 years of software experience in industry. Completed masters in Computer Science in 2011 from India.
Area of Expertise
Topics
Low-Code and No-Code Development Platforms
Abstract:
Low-code and no-code (LCNC) development platforms are revolutionizing software development by enabling users to create applications with minimal or no traditional programming expertise. These platforms provide visual development environments, drag-and-drop functionality, and pre-built components, significantly accelerating the application development lifecycle. Low-code platforms allow some coding for customization, while no-code solutions cater to non-technical users by eliminating the need for coding altogether. LCNC platforms enhance productivity, reduce costs, and democratize software development, making digital transformation accessible to businesses of all sizes. Despite their advantages, challenges such as scalability, security, and platform dependency must be considered.
There are parallels between AI and low code use cases and adoptions. AI is helping organizations and individuals to analyze, interpret and manage massive data sets, as well as create initial drafts of content, find answers to questions and interpret medical images such as x-rays. Across all use cases, AI is skyrocketing. Similarly, low code removes much of the burden of writing actual code: It takes much less time to provide high-level direction, which low-code systems convert to code.
This session will insight into below:
1. Goodbye Citizen Developer, Hello Business Developer
2. LOW-CODE INTEGRATES WITH GENAI CODE GENERATION
3. Emergence of Low Code Builders
4. AI BOTS REPLACE LOW-CODE DEVELOPMENT
5. LLM will not replace low code — AI will push existing low-code solutions to do even more
6. RANGE OF PLATFORMS ADOPT LOW-CODE/NO-CODE PRINCIPLES
Design principles for artificial intey-augmented descision making.
AI applications have proliferated, garnering significant intrest among information system scholars. AI-powered analytics, promising effective and low-cost decision augmentation, has become a ubiquitous aspect of contemporary organisations. Unlike traditional decision support systems (DSS) designed to support decision makers with fixed decision rules and models that often generate stable outcomes and rely on human agentic primacy. AI systems learn, adapt, and act autonomously, demanding recognition of IS agency within AI-augmented descision making ( AIADM) systems. This session will cover theory and practice with a set of actionable design principles to guide AIADM system design and development for product owners.
Devops and Performance
Topic will cover actionable insights and best practices to optimise performance at every stage of the development and deployment lifecycle.
Key discussion points:
1.Performance -Driven Development
2.Infrastructure as Code and Performance.
3. Monitoring and Observability.
4. Automated Testing for Performance.
5. Containerisation and Microservices.
6. Continuous feedback Loop
This session will provide actionable insights and best practices to optimise performance at every stage of the development and deployment lifecycle.
Sustainable software development with green coding
I am an expert in software development and operations with a focus on sustainability and green coding. With years of experience in the tech industry, myself has been at the forefront of advocating for environmentally conscious coding standards and sustainable software development methodology. They have led initiatives that integrate energy - efficient algorithms , optimized resource utilisation, and carbon footprint reduction into the software development lifecycle. In this session I am passionate about empowering developers to create software that not only meets performance goals but also contributes positively to environment sustainability.
Exploring Android Jetpack Testing
This session will cover the essentials of Jetpack's testing steps, including JUnit and Expresso, and Unit, Instrumentation, UI testing. How to test Compose code ( Semantics, Testing API's, Synchronization and Interoperability). Exploring best practices for writing effective units tests, UI Tests and Models with JUnit. How to improve app's reliability and quality with Jetpack's robust testing tools with Assertion and Parameterization Techniques. Insights on Espresso Framework , component and related setup. Technical discussion on Implement testing and Compose layout testing.
DevOps Challenges Faced & Lesson Learned
DevOps Challenges Faced & Lesson Learned- DevOps challenges on topic (Migrating an Application to a Cloud environment, Integration of automated testing in a CICD pipeline,
Monitoring and alerting system, Monitoring and alerting system
, Architecting a highly available and scalable infrastructure
, Automating the deployment of a complex micro-services based application) and their analysis and lesson learned.
CONSTRUCTED A CI/CD PIPELINE FOR A Retail Company (Business challenges, Problem Statement and Solution Provided).
Mastering Java Script Performance Optimization
" Mastering Java Scripts Performance Optimization" explores advanced techniques and best practices to enhance the efficiency and speed of JavaScript code. The topic covers various aspects such as minimising load times, reducing memory usage, optimizing DOM manipulation, and leveraging modern tools like code profiling and bundling. It also delves into specific strategies like lazy loading, denouncing, and using Web Workers for heavy computations . This topic is essential for developers aiming to build high-performing web applications that deliver a seamless user experience.
Flutter & Firebase
Flutter & Firebase: Helpful Blend for Your Business App and Firebase Storage and Database related Usage and benefit on App development Field
DevOps Implementation with Chef Automation
Agenda:
1.Overview Of DevOps
2.DevOps Implementations with tools
3.Overview of Chef
4.A client Case Study
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