Location
Leipzig, Germany
Igal Vilensky · Leipzig, Germany
Full-stack software developer building SaaS products and practical AI-assisted workflows.
I build user-focused web applications with TypeScript, Vue/Nuxt, React/Next, Node.js, APIs, and Python/FastAPI. My current AI agents and automation work extends that product engineering foundation into practical workflows.
Full-stackFrontendVue/NuxtReact/NextSaaSAI automation
Recruiter snapshot
The useful facts first.
A compact view of role fit, stack, language coverage, and current AI automation direction.
Target roles
Full-stack, Frontend, Vue/Nuxt, React/Next, TypeScript, AI Automation
Core stack
TypeScript, Vue/Nuxt, React/Next, Node.js, Express, APIs, Python/FastAPI
AI focus
LLM APIs, prompt engineering, AI agents, n8n, Make, APIs, webhooks, AI safety
Languages
Hebrew Native, Russian Native, English C1, German B2
Current
AI Agents & Automations, WBS CODING SCHOOL, 2026 - Present
Ask My Portfolio preview
A grounded shortcut for busy reviewers.
This preview shows the planned recruiter guide direction: concise answers based on portfolio data, selected projects, role fit, and documented experience.
What roles is Igal a good fit for?Summarize Igal for a recruiter.Does he have SaaS experience?Which project should I review first?
Sample grounded answer
Summarize Igal for a recruiter.
Igal Vilensky is a full-stack software developer based in Leipzig, Germany. He has professional experience building SaaS and web products with TypeScript, Vue/Nuxt, React/Next, Node.js, REST APIs, and headless CMS tools. He is currently extending that background through an AI Agents & Automations course at WBS CODING SCHOOL, with a focus on LLM workflows, AI agents, n8n, Make, APIs, webhooks, and AI safety.
Answers should stay grounded in local portfolio content and avoid external actions, browsing, or hiring promises.
Selected work
Four projects that show the main proof.
The homepage now gives priority to the strongest SaaS, full-stack, and AI-assisted product examples.
SaaS Product Engineering / Professional Case Study
Flowplace: Role Compass
Talent profile feature for a SaaS platform, built with Vue/Nuxt and Directus and adopted by 5,000+ users in the first month.
Software developer working on end-to-end product engineering for a core talent profile feature.
- 5,000+ users in the first month.
- Professional SaaS feature in production context.
Vue.jsNuxt.jsTypeScriptDirectusREST APIsCI/CD
SaaS MVP / AI-Assisted Platform / Full-Stack Product
OpenMe
Actionable bio/profile platform where people define what others can do with them through public endpoints such as collaboration, questions, feedback, and ideas.
Builder and full-stack developer for a SaaS MVP with AI-assisted workflow features.
- Live deployment exists.
- GitHub repository is available.
Next.jsReactTypeScriptNode.jsExpressPostgreSQL
AI Product Tool / Decision Support / Full-Stack App
Decision Matrix AI
AI-assisted decision matrix app for comparing complex choices using weighted criteria, scores, explainable recommendations, and action checklists.
Builder and full-stack developer for an AI-assisted decision-support product tool.
- Live deployment exists.
- GitHub repository is available.
ReactViteTypeScriptTailwind CSSNetlify FunctionsGroq API
Full-Stack Web Platform / Professional Case Study
ARI Motors: EV Portal
Electric vehicle comparison portal built from scratch to production in under three months as a solo full-stack developer.
Solo full-stack developer responsible for frontend, backend, database, data handling, and launch work.
- Launched from concept to production in under three months.
- Case study page states the platform launched successfully within the deadline.
JavaScriptFull-StackDatabaseResponsive DesignREST APIs
How I work
Product thinking before feature noise.
The through-line is practical product engineering: understand the workflow, build the right interface, connect the system, test the path, and iterate with the team.
01
Clarify the workflow
Translate ambiguous needs into user flows, product constraints, and useful scope.
02
Design the interface
Shape responsive screens around clarity, accessibility, and real user tasks.
03
Connect the system
Build frontend and backend paths with APIs, data models, integrations, and deployment in mind.
04
Test the path
Check user flows, edge cases, data handling, and release readiness.
05
Iterate with context
Use feedback, bugs, and product priorities to keep improving the shipped experience.
AI / Automation focus
AI as an extension of software work.
The current direction is not a restart. It builds on SaaS, APIs, UX, and workflow experience to create AI-assisted systems with clear boundaries and human review.
LLM product UX
Interfaces where AI suggestions are editable, explainable, and grounded in user intent.
Automation workflows
n8n, Make, APIs, and webhooks used as practical handoffs between tools and teams.
Human-in-the-loop systems
AI-assisted outputs with clear boundaries, review points, and no unsupported claims.
Current course layer
AI Agents & Automations at WBS CODING SCHOOL, supported by LLM APIs, Groq API, Prompt engineering, AI agents, n8n.
Experience snapshot
Professional context, scanned quickly.
A concise timeline linking software development, product operations, and the current AI automation course.
2023 - 2025 · Leipzig
Software Developer
Flowplace
Developed SaaS features with Vue.js/Nuxt.js and Directus, implemented responsive UI designs, improved usability and accessibility, and integrated REST APIs.
2022 - 2023 · Leipzig
Software Developer
LeanERA GmbH
Built dynamic and responsive web applications and supported LeanERA's transition toward product-focused systems.
2021 - 2022 · Leipzig
Full Stack Web Developer
ARI Motors GmbH
Developed user interfaces for an electric commercial vehicle comparison portal and maintained backend systems and databases.
2017 - 2019 · Ashqelon
Digital Product & Web Coordinator
Myfxbook Ltd / Cashdo
Coordinated website and digital product operations, supported feature development coordination, and worked with white-label partner integrations.
2026 - Present · Online
AI Agents & Automations course
WBS CODING SCHOOL
Current course focused on strengthening software development experience with AI agents, automations, LLM workflows, prompt engineering, APIs, webhooks, and AI safety.
07.12.2020 - 01.02.2022 · Leipzig / Remote Learning
Web- und Softwareentwickler/in
Digital Career Institute (DCI)
Completed comprehensive web and software development training covering frontend, backend, databases, authentication, REST APIs, Git/GitHub workflow, agile methodologies, and job-related German.