Yuval Ron

Playpool.ai (at the moment in closed beta) is an AI-powered collaborative music promotion platform enabling musicians to promote their music on Spotify by sharing playlists and promoting them together. Musicians can join existing playlists or create their own. The platform offers automatic playlist generation and management, music matching and intelligent social media ads for musicians, making music marketing easy and affordable on the world’s most important music streaming and social media platform.

Behind the scenes the platform’s agents are orchestrating between various foundational models, agent contexts, various tools and APIs to plan, build, evaluate, promote and track playlist and individual song performance.

Primary Tech Stack:

Agentic AI: Python, FastAPI, LangGraph, LangChain, LangSmith, AWS Bedrock AgentCore, Various foundational models and modalities (OpenAI, Claude, Gemini, Grok), MCP / OpenMCP (Spotify), Prompt engineering, Python frameworks & tools - UV, Pydantic, PyTest, Dynaconf, asyncio WebSockets, vcrpy, Ruff.

Frontend: TypeScript, React, Next.js, Zustand, Tailwind CSS, WebSockets, Vitest, Playwright, ESLint, Prettier, pnpm

Backend - API, Lambdas: TypeScript, Node.js, AWS SDK / Powertools, Vitest, Polly.js, ESLint, Prettier, pnpm

MLOps, DevOps, CI/CD and IaC: Lambda, API Gateway, EventBridge, IAM, Cognito, DynamoDB, S3, ECR, CloudWatch (APM / X-Ray), CloudFront, CDK / CloudFormation, Systems Manager / AppConfig / Secrets Manager, Vercel app hosting, Docker, Docker Compose, Traefik, GitHub / GitHub Actions, Nx polyglot monorepo, SST, Pulumi, Vercel, AWS CDK / CloudFormation / Toolkit / CLI / Console.

Public APIs: Spotify, Meta Ads, Stripe, PayPal

IDEs, AI coding and tools: WebStorm, PyCharm, Claude Code, Codex, GitHub Copilot / JetBrains AI Assistant, Amazon Q, Vercel v0, JIRA, Postman

Architectures & Methodologies: Serverless, Event Driven, AWS Cloud native, IaC / GitOps, Clean Code, TDD, Monorepo

As a senior full stack engineer, I have joined Ionos' Cloud Platform’s IAM (Identity and Access Management) team at an exciting early stage to build a new, scalable, reliable and robust solution primarily based on OIDC with Keycloak. Together with the team I have architected, designed and implemented a group of highly effective microservices that extended and customized Keycloak’s behavior and served as the new identity, authentication and authorization gateway of Ionos Cloud’s varied clients. This involved a broad work across the entire tech stack, including frontend development, backend development, infrastructure, architecture and design. I’ve worked closely with a team of highly skilled engineers as well as other product and infrastructure owners, bringing services from MVP and mockup stages up to maturity, while remaining interoperable with legacy services.

One of the major emphases of my role was to enhance the reliability of our services, in order to assure we deliver and maintain a high quality, robust solution which users can depend on. In that capacity I have owned, designed and implemented a complete automated end-to-end testing infrastructure which included functional and performance test suites of both our user interfaces and APIs. The suites were integrated in our infrastructure as continuous jobs, alongside with custom failure alerts, assuring the reliability and high availability of our services.

Primary tech stack: Keycloak (OAUTH2, OIDC, SAML, FreeMarker templates), Java 21, Spring Boot, Maven, JavaScript, Node.js, Cypress, Artillery, Docker, Kubernetes, Helm, ArgoCD, Prometheus, VictoriaMetrics, GitHub Actions, GHCR, Harbor, Vault, Grafana, JIRA, Confluence.

Architectures & Methodologies: Microservices, Scrum, GitOps, Infrastructure as Code (IaC), Test Automation, TDD, DDD.

CGM provides health professionals and patients with helpful medical information for the benefit of all stakeholders in the healthcare system. We develop software to optimize the medical and administrative processes of healthcare providers, including electronic communication with the patient. We enable all people to access relevant medical information and services regardless of location and time. We focus on intuitive user experience, state-of-the-art technologies and uncompromising security for medical data.

As a backend developer and software architect at CGM I worked on a challenging migration of a large Java codebase from a legacy inhouse backend framework into a modern array of RESTful Microservice APIs based on the Quarkus framework. The project required a deep understanding of the legacy codebase of a large enterprise project, its existing architecture and business logic, which enabled the migration of various services and dependencies into redesigned and improved microservice APIs. Working in a Scrum team with the other architects, PO and stakeholders, I have also consulted and led significant improvements to the team’s workflow, particularly in the areas of Scrum, backend automated testing and its implementation as a TDD practice.

Primary tech stack: Java 17, Quarkus framework (Core, Hibernate, RESTEasy…), RESTful APIs, Lombok, Maven, IDEA IntelliJ, Microservices architecture, Git, GitLab CI/CD, Docker, Docker Compose, Kubernetes, Liquibase, PostgreSQL, H2, Log4j2, JUnit, Mockito, Hamcrest, Mapstruct, Postman. Product management: JIRA, Confluence, Miro. Methodologies: Scrum, Agile, Code reviews, TDD.