Building reliable workflows across test engineering, data, web systems, and practical AI.
I am a Configuration Consultant at FRAIA, working across test engineering, automated validation, web development, data analysis, and AI-enabled workflows.
My work focuses on replacing assumptions about systems with continuous, observable evidence. I validate clinical pathways and AI-enabled workflows and build automated monitoring solutions using Python, Playwright, APIs, GitHub Actions, and CI/CD pipelines.
My broader experience across frontend development, data products, analytics infrastructure, and interactive AI helps me connect implementation, usability, and quality rather than treating them as separate areas.
- 💼 Configuration, workflow validation, and quality engineering at FRAIA
- 🧪 Automated UI, API, regression, and AI-feature validation
- 📊 Previous experience in data analysis and interactive visualization
- 🌐 Web development, technical analytics, and AI integration
- 📍 Based in Budapest, Hungary
- 🗣️ Farsi: Native · English: C1 · Hungarian: B2 · German: A2
- 🏅 Active GitHub contributor with public projects across quality engineering, data, web systems, and interactive AI
- 🌐 Interactive portfolio: rammeshgar.github.io
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A continuous automated testing and monitoring system built with Python, Playwright, GitHub Actions, API validation, and CI/CD. The suite continuously validates infrastructure availability, clinical consultation workflows, AI-generated medical notes,
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| Project | What it demonstrates | Technologies |
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| Interactive Portfolio | A responsive portfolio with a scroll-driven cinematic introduction, an interactive 3D digital twin, AI conversation, and generated voice | JavaScript, Three.js, WebGL, Gemini, ElevenLabs, Netlify |
| Exchange Universe | Interactive exploration of real-time and historical data across more than 170 currencies | R, Shiny, APIs, data visualization |
| Awesome Chocolates BI | Sales modeling and business-performance analysis using structured relational data | MySQL, Power BI, ETL, data modeling |
| Interactive Insights | Spatial analysis of population and air-pollution-related mortality through interactive maps | R, Leaflet, Flexdashboard |
| Web Scraping Pipeline | Extracting, cleaning, and structuring online information for analysis | R, web scraping, data wrangling |
| 3D Model Mascot | Development and integration of a custom animated digital character | Blender, Mixamo, 3D assets, web integration |
| 🧪 Quality Engineering |
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| 🌐 Web & Systems |
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| 📊 Data & BI |
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| 🤖 AI & Interactive Media |
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| 📈 Analytics & Delivery |
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| Step | Focus |
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| 1. Understand | Read the context, separate evidence from noise, and identify the real problem |
| 2. Structure | Convert scattered requirements into workflows, interfaces, tests, and maintainable logic |
| 3. Validate | Test user journeys, APIs, edge cases, integrations, and AI-generated behavior |
| 4. Observe | Make system health and failures visible through monitoring, artifacts, dashboards, and alerts |
| 5. Improve | Use evidence from tests and real usage to refine reliability and usability |
I enjoy working on systems where reliability, clarity, continuous learning, and creative problem-solving matter.