I’m a Computer Science student with a background in frontend development and a growing passion for data engineering.

• Started as a Frontend Intern, where I learned good development practices and the Software Development Life Cycle (SDLC).
• Pursuing a Bachelor’s in Artificial Intelligence & Big Data, focusing on data pipelines and data literacy.
• Currently interning in data analytics, contributing to ETL processes, pipelines, and Power BI dashboards.

• Excel for Data Analysis – Axel Barousse Excel Course (YouTube)
  Mastering formulas, pivot tables, and data visualization basics.

• Machine Learning – Google Machine Learning Crash Course
  Exploring core ML concepts: regression, classification, and model evaluation.

• Data Engineering – DataTalksClub - Data Engineering Zoomcamp 2026 Cohort (GitHub)
  Learning pipelines, data warehouses, and workflow orchestration.

I'm actively experimenting and building practical solutions. Here are a few notable examples:

1. YannBotAI – React Chatbot with CI/CD Pipeline

   • Demonstrated Containerization and CI/CD with a simple React-based chatbot application.
   • Technical Details:
     • Containerized with Docker for portability.
     • Implemented a robust CI/CD pipeline with Jenkins:
       • Automatic image builds triggered on ‘main’ branch merges.
       • Automated image push to Docker Hub.
       • Automatic notifications via Slack
     • Skills Demonstrated: Frontend development (React), Containerization (Docker), CI/CD (Jenkins).

   View project demo

2. TALLA-RAG – Distributed RAG with Cassandra NoSQL Cluster

   • Implementation of a highly available Retrieval-Augmented Generation (RAG) architecture, designed to maintain its memory even in the event of hardware failure.

   • Technical Details:

     • Containerized with Docker for portability.
     • Distributed Architecture: Deployed a multi-node Apache Cassandra NoSQL cluster via Docker with data replication to ensure persistence and service availability.
     • Local Intelligence: Integrated local LLMs via Ollama (Gemma 3, Granite 3.2) for total data privacy and offline execution.
     • Interactive Interface: Developed a Streamlit-based UI supporting dynamic ingestion of multiple document formats (PDF/TXT) and context-aware chatting with the assistant.
     • Skills Demonstrated: Big Data (Cassandra), NoSQL, Artificial Intelligence (RAG), Docker Networking, Python (LangChain), High Availability (HA).

   View project on Github

3. Berlin Airbnb Analytics – Professional Power BI Dashboard

   • A comprehensive 3-page Business Intelligence solution analyzing the Airbnb market in Berlin, designed to transform raw housing data into actionable investment insights.
   • Technical Details:

     • Cleaned and transformed raw CSV in PowerBI using PowerQuery.

     • Demonstrated UI/UX Engineering by implementing an interface using the airbnb design system color palette.

     • Developed a 3-tier reporting structure: Market Overview (Global), Geographic Analysis (Spatial), and Trust & Performance (Quality).

     • Skills Demonstrated: Business Intelligence (Power BI), Data Modeling (DAX), UI/UX Design for Data, Geospatial Visualization, Data Storytelling.

   View project on Github

• Frontend Development Intern at Alshadows Technologies (Sep 2025 - Feb 2026)
  • Developed and maintained 20+ responsive UI components for multiple web applications using React+TS and TailwindCSS.
  • Integrated REST APIs into the frontend in collaboration with Backend Engineers.
  • Collaborated on bug fixes and testing.
  • Participated in code reviews and provided constructive feedback.

• Strengthening Machine Learning fundamentals through Google’s ML Crash Course.
• Developing Data Visualization skills for clear and impactful storytelling.
• Expanding knowledge in Data Engineering through the Zoomcamp.
• Building skills to connect applications with data systems.
• Exploring tools and practices for production‑grade pipelines.