Aouatif Cherdid

– Development of a machine learning system leveraging NLP techniques to predict the optimal match between candidates and recruiters, thereby increasing recruitment process efficiency. – Collected and cleaned recruitment data using NLP techniques for preprocessing and extracting key information, ensuring optimal data quality for precise analyses. – Conducted in-depth data analysis and NLP-based processing to refine candidate-job matching, maximizing recommendation relevance. – Designed and implemented predictive models to improve candidate-job matching, with the creation of an API allowing real-time integration into the MidJob application. – Monitored and evaluated model performance through visualizations, ensuring rigorous tracking and continuous optimization of results.

– Development of a multimodal medical chatbot capable of processing text and images, based on advanced model such as LLaVA-Med. – Integrated RAG (Retrieval-Augmented Generation) with reliable data sources and APIs like Tavily to provide accurate and tailored medical consultations, thereby improving access to healthcare.

– Development of a French-to-English automatic translation model based on Transformer T5. – Designed advanced pipelines for text-to-speech synthesis (Tacotron 2) and audio-to-text transcription (Whisper), ensuring seamless and efficient multilingual processing. – Created an interactive interface using Streamlit, integrating these multimodal features for an intuitive and user-friendly experience tailored to users' needs.

– Conducted an in-depth comparative study of SDN solutions using tools such as GNS3. – Participated in the implementation and automation of network processes through advanced digital solutions. – Collaborated with the Information Systems and Digital team to optimize the performance of network infrastructures. – Documented and analyzed system performance to support the organization's digital transformation.

– Ensured proactive supervision of 15 critical systems using Nagios to guarantee availability and operational continuity. – Resolved critical incidents in close collaboration with the technical team, reducing resolution time by 30%. – Prepared detailed performance reports and proposed improvement strategies to anticipate and prevent future issues. – Implemented creative solutions to optimize system monitoring, contributing to improved incident management.