Rivka Dinin is a skilled Full Stack and J2EE Team Leader with over 14 years of experience in software development. Focusing on creating innovative, robust, and scalable full stack applications using Java and J2EE frameworks. Rivka’s expertise spans both front-end and back-end technologies, enabling her to manage and deliver high-quality software solutions that enhance platform performance and user experience. Passionate about technology, she continuously hones her skills while driving projects that integrate new features and improve existing systems, making her a valuable leader in the software engineering field.

full stack development, J2EE, Java frameworks, software engineering leadership, team management, scalable software solutions, design & architecture, front-end and back-end integration, platform performance enhancement, feature development, innovative software solutions

Leading the development of innovative software solutions, focusing on full stack applications using Java and J2EE frameworks. Managing a team to deliver robust, scalable systems, integrating front-end and back-end technologies. Projects involve enhancing existing platforms and building new features to improve performance and user experience. No specific project names mentioned.

Full stack developer at Elbit Systems with a passion for building scalable and secure applications.

Interested in AI agents, cybersecurity, and real-time data platforms.

Developing internal dashboard systems for defense projects using REACT& .NET.

Senior DevOps Engineer with over 8 years of experience in the tech industry. I began my career as a full-stack developer and previously led an agile full-stack team. In the last 6 years, I specialize in cloud infrastructure, CI/CD, and platform engineering, and I'm currently exploring the intersection of DevOps and GenAI.

I'm currently deeply engaged in exploring the world of GenAI agents and large language models (LLMs), particularly from the DevOps perspective—focusing on IaC, how to deploy, monitor, and manage these systems in production environments. I'm also approaching this space from the developer side, experimenting with how to design, build, and extend agent-based architectures effectively.

Experienced Backend engineer with 2 years at Microsoft and currently leading development at IVB. I’m an independent and responsible developer, building complex systems from scratch in a fintech domain. Passionate about scalable architecture, performance, and AI tools for developer productivity. I bring strong ownership, product thinking, and a drive for excellence.

GenAI, Cloud, .NET, AI productivity tools, fintech architecture, system design, startup innovation.

Building a new end-to-end financial system for recurring payments and direct debit management. Designing and implementing scalable .NET Core microservices, including secure credit card and Masav integrations. Also maintaining legacy systems during the transition.

Faigy Shternhel is a Full-stack Developer at Elbit Systems Israel with experience in developing complex defense systems. She specializes in full-stack solutions using C#, React, JavaScript, Node.js, and TypeScript, focusing on coding, system integration, and building intelligent algorithms for large-scale projects. Faigy leverages Docker and MongoDB for efficient deployment and data management. With a strong ability to learn new technologies quickly, she contributes innovative solutions to complex problems. Holding a degree from The Open University of Israel- grade 88, Faigy is passionate about advancing her development and project management skills in challenging full-stack roles.

full-stack development, C#, React, JavaScript, Node.js, TypeScript, Docker, MongoDB, system integration, intelligent algorithms, complex defense systems, project management, large-scale projects, innovative solutions

Developing complex defense systems at Elbit Systems Israel, focusing on full-stack solutions using C#, React, JavaScript, Node.js, and TypeScript. Working on integrating advanced technologies and building intelligent algorithms for large-scale projects. Responsibilities include coding, system integration, and implementing user interfaces, leveraging Docker and MongoDB for efficient deployment and data management. No specific project names mentioned.

I'm a Full-Stack Developer at Matrix with over five years of experience designing and building high-performance, scalable web applications. My expertise spans Angular (up to v18), .NET Core, C#, TypeScript, JavaScript, SQL, and Azure services. I focus on clean architecture, maintainable code, and delivering robust backend APIs alongside responsive, performant frontend interfaces. I also work with CMS platforms like Umbraco, manage secure and scalable cloud deployments on Azure, and optimize global content delivery using Akamai CDN for enhanced speed, reliability, and security. I’m passionate about continuous learning and thrive on solving complex challenges. My development approach is centered on creating thoughtful, user-centric solutions through efficient and modern engineering practices.

Areas of Interest I'm deeply interested in the intersection of AI and software development—particularly how Large Language Models (LLMs) can be applied to enhance productivity, decision-making, and automation. My current focus areas include: Agent-to-Agent (A2A) communication Model Context Protocols (MCP) Task orchestration and intelligent assistants Memory architecture and contextual data handling in AI systems I'm actively exploring how these concepts can power AI-enhanced developer tools, autonomous task managers, and context-aware systems. Through hands-on experimental projects, I integrate LLMs into structured workflows—simulating memory, retaining context, and enabling autonomous execution in multi-agent environments. I’m eager to connect with developers, researchers, and product thinkers who are passionate about pushing the boundaries of human-AI collaboration in applied, real-world scenarios.

I'm actively diving into some of the most exciting and emerging areas in AI, and bringing what I learn into hands-on personal projects. Lately, I’ve been exploring cutting-edge concepts like Agent-to-Agent (A2A) , -Model Context Protocol (MCP), and intelligent systems such as AI- Task Managers and Memory Banks. As I study these topics, I’m implementing them in experimental projects that blend AI with practical application—creating tools that simulate memory, context retention, and autonomous task execution. These projects allow me to explore how large language models can be used in structured, multi-agent systems and real-world workflows. This approach helps me stay at the forefront of AI innovation while continuously sharpening my full-stack development and system design skills.