Salma EL ANIGRI

– Designed and executed LLM evaluation experiments for ESG topic classification, benchmarking model outputs against human annotations. – Developed ETL pipelines and annotation workflows for large-scale NLP labeling tasks. – Built and shipped client-facing features on a regulatory intelligence platform using Python and Vue.js.

– Qiskit Global Summer School is two weeks of intensive lectures for quantum computing, starting from learning quantum fundamentals to some quantum applications in computer science and chemistry using the Qiskit python library.

– As a volunteer, my role was contributing to the process of the ACL2020 Online conference's virtual infrastructure. I contributed with the ACL team of volunteers in tasks related to setting web pages for the accepted scientific papers.

– Creating a web platform that generates small web Augmented reality apps. – Setting up an object detection system for traffic signs detection by studying multiple deep learning methods: RCNN, Fast RCNN, Faster RCNN, SSD. – Technologies and programming languages: Node.js – Aframe-ar.js – TensorFlow.

– Developing web pages from PSD templates. – Writing the book of technical specifications. – Technologies: HTML5, CSS3, Bootstrap.

– Solving the problem of the traveling salesman by meta-heuristics: Tabu search, ant colony optimization. – Technologies and programming languages: MATLAB.