רואד מנסור

Ambitious and always looking to learn and apply new technologies and skills, great ability in teamwork. Capable of working under pressure. Always looking for my next programming challenge

Backend & AI Developer at Sysaid (2022-01 – Present)

• Designing, developing, and maintaining microservice-based features using Java Spring Boot with REST API's, Spring Data, JPA
• Hands-on experience with AWS services, including S3, Lambda, EC2, as well as MySQL, Git, Jira, and Datadog, all within an agile environment
• Applied strong understanding of system design principles, software architecture, and scalable backend development in an agile environment
• Worked with CI/CD pipelines, Jenkins, Docker, and Kubernetes to support reliable and scalable deployments
• 2024–2025: Member of the AI Team
• Building an AI-driven product using TypeScript, including implementing RAG (Retrieval-Augmented Generation), working with langchain, vector databases (Pinecone, Milvus, Redis Vector) and ORM (Sequelize)
• Extensive use of AWS Bedrock, S3, Redis, and Lambda services
• Experience with prompt engineering, AI Agents in production and multiple LLM models such as OpenAI, Azure, Anthropic, Google AI, and others
• Experience using Claude Code and Cursor IDE as AI-assisted development tools
• Developing enterprise-grade features using LaunchDarkly and BullMQ (Redis-based)
• Contributed to building the internal "Builder" tool — a platform that creates AI agents based on user requests by exposing relevant APIs and MD documentation

Backend developer at Xsense, Tefen (2019-01 – 2022-12)

• Java programming for big data infrastructure design
• Server-side planning technologies
• Experience with Maven, Spring, Spring Boot, RESTful Services, AWS, Cassandra, Elastic, GitLab, Jira, Jenkins, MobaXterm, and Git
• Implementation, introduction, and maintenance of GitLab
• Development of Java tools such as an emulator and unit tests

B.Sc in Software Engineering – Ort Braude College, Karmiel (2014-01 – 2018-12)

Course in Machine Learning: Hands-On Python – Udemy (2020-10 – 2020-12)