Software Engineer

Zenned Yassine

I build AI-powered products, scalable backend systems, and SEO-driven web experiences with measurable business impact.

Quick Facts

Professional Experience

01/2025 - Present | Germany

Architected an AI-powered content engine generating SEO-optimized brand analysis reports and publishing directly to WordPress.
Led development of a multi-model AI imaging platform with natural-language editing, heatmap analysis, focus, and contrast tooling.
Automated internal workflows with n8n for cost tracking, reporting, Slack alerts, and operational visibility.
Delivered SEO-focused, login-free AI tools with safeguards that reached top-3 search rankings and increased organic traffic.

Java, Spring Boot, n8n, Angular, Python, WordPress, TinyDB, GCP, OpenRouter

2022 - 2024 | Tunis

Built an AI platform generating 1,500+ SEO-optimized product descriptions, increasing conversion by 35%.
Developed a RAG-based chatbot with Tavily integration, improving response accuracy by 40% and search relevance by 90%.
Architected Spring Boot microservices with RabbitMQ, Eureka, and Zipkin for resilient communication and observability.
Deployed containerized services on Docker and Kubernetes, with AWS S3 integration for scalable asset management.

Java, Spring Boot, Flutter, Angular, OpenAI, RAG, Tavily, AWS S3, RabbitMQ, Eureka, Zipkin, Docker, Kubernetes, PostgreSQL

A focused set of builds that combine product thinking, systems performance, and AI integration.

PROJECT 01

A collaborative, spreadsheet-style workspace for designing and running complex LLM workflows.

Production

60% faster iterationsRealtime SSEMulti-user

Created a spreadsheet-style platform for LLM workflows with real-time streaming (SSE) and dependency-based execution.
Implemented a template engine with dynamic references and parallel prompt execution, reducing iteration time by 60%.
Enabled multi-user collaboration, workspace management, and OpenRouter model integration.

Java, Next.js, TypeScript, Spring Boot, JPA/Hibernate, OpenRouter API, SSE

PROJECT 02

A unified observability platform for high-speed cross-source querying and AI-assisted root-cause analysis.

Scale Ready

<200ms query path<10ms cachedParallel cloud fetch

Launched a high-performance log platform querying AWS CloudWatch and Grafana Loki in parallel with sub-200ms responses.
Built unified log normalization with PostgreSQL and Redis caching, reducing repeated query time to under 10ms.
Developed a Go REST API with goroutines/channels and integrated MCP-based AI log analysis for natural-language queries.

Go, PostgreSQL, Redis, Docker, AWS CloudWatch, Grafana Loki, MCP, AWS SDK

JavaJavaScriptTypeScriptPython

Spring BootFlutterAngularNext.jsExpress

PostgreSQLMySQLMongoDBSQL ServerTinyDB

AWS CCPDockerKubernetesGitHub Actions

GitHubLinkedIn: YASSINE-ZENNED