Sirine Gaïda

• Designed and developed custom business applications using Microsoft Power Apps. • Integrated Power Platform solutions with Microsoft 365, SharePoint, Dataverse, and Azure services. • Built automated workflows with Power Automate to streamline internal processes and reduce manual tasks.

-Designed and implemented an AI-based matching system for recruitment using the GPT-4-turbo model for data extraction from resumes, the text-embedding-3-small model for vector embeddings, and PySpark for distributed matching calculation. -Built data pipelines orchestrated by AWS Step Functions, integrating multiple Lambda functions to automate the ETL process (Extract, Transform, Load). -Utilized Amazon S3 for scalable storage of CVs and job offers, enabling serverless workflows for data processing and embedding generation. -Implemented an analytics microservice to generate ETL pipelines and interactive dashboards with Power BI. -Contributed to an agile development team using SCRUM and Jira to deliver modular, scalable recruitment solutions. Keywords: Artificial Intelligence (AI), OpenAI, Prompting, Embeddings, Pgvector, Pyspark, PostgreSQL, Amazon S3, ELT Process, Datawarehouse, and PowerBI.

-Creation Artificial intelligence model for cost prediction of 3d printing -Data collecting by web scrapping scripts. -Following the CRSIP DM method (Cross-Industry Standard Process for Data Mining)

• Vectorization for data input and preprocessing with Llama.cpp LLM. • Segmenting data to identify target groups for tailored insights and actions. • Data visualization by creating dashboards of different disease features using Power BI. Keywords: PowerBI, LLM, Generative AI , TensorFlow, Hugging Face, BioMistral, Bert Embeddings

• Realization of web interfaces for a task management platform. • Realization of the CRUD functionalities of departments. • Realization of the user authentication part. Keywords: HTML, Bootstrap, Angular(v13), MongoDB, NodeJS.