Khalil Gorsan Mestiri

Khalil Gorsan Mestiri has a diverse range of work experience, starting with their current role as an AI Research Engineer at InstaDeep. In this position, they have successfully expanded the company's expertise and trust by delivering a user-friendly prototype that optimizes a large-scale management system for client Deutsche Bahn. This achievement has led to a long-term collaboration to build an AI-driven product integrated within the railways systems. Khalil is also responsible for designing and conceptualizing solutions to complex problems.

Prior to working at InstaDeep, Khalil held an internship position as an Artificial Intelligence Engineer at the same company. In this role, they gained valuable experience in the field of AI.

Before their time at InstaDeep, Khalil served as an Advisory Council Member and Marketing Manager at ENSI Junior Entreprise, a student association focused on introducing Tunisian students to entrepreneurial and professional life. As an Advisory Council Member, they supervised new members of the board and provided necessary documentation. As the Marketing Manager, they played a key role in the development of activities, training, events, and implementation of ICT projects.

Additionally, Khalil gained experience as a Software Engineer Intern at Attijari bank Tunisie, where they contributed to a project involving the design of proof-of-concepts using Blockchain technology. Khalil conducted research based on an audit report on the bank's digital transformation to assess the possibilities of implementing Blockchain in Tunisia.

Furthermore, Khalil had a student internship at FIS, where they utilized data mining techniques to analyze and predict the productivity of Agile project developers. Khalil employed the decision tree algorithm to make these predictions.

Lastly, Khalil was a member of the organizing committee for the JET Spring Seminar, an event organized by the National Confederation of Junior Enterprise in Tunisia. Khalil contributed to the logistics and sponsorship management of the event.

Khalil Gorsan Mestiri has a diverse education history. In 2010, they completed their Tunisian Secondary School Diploma with a focus on Mathematics at Pioneer Secondary School Bayrem 5 - Menzeh8. Khalil then went on to pursue further studies at the Institut Préparatoire aux Etudes d'Ingénieurs de Tunis (IPEIT) from 2014 to 2016, where they obtained a Diplôme d'Etudes universitaires du Premier cycle in Mathematics and Physics.

Continuing their education, Khalil joined the Ecole Nationale des Sciences de l'Informatique (ENSI) from 2016 to 2019, where they obtained a degree in Computer Science Engineering with a specialization in Finance & Statistics.

In 2020, Khalil enrolled in a short-term course on Artificial Intelligence at Udacity. Khalil also obtained additional certifications to enhance their expertise in AI and machine learning. These certifications include: Deep Reinforcement Learning NanoDegree from Udacity (obtained in August 2020), Convolutional Neural Networks, Deep Learning Specialization, Sequence Models, Structuring Machine Learning Projects, Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization, and Neural Networks and Deep Learning from Coursera (all obtained in 2018).

Based on the provided information, it can be concluded that Khalil Gorsan Mestiri has a strong educational background in computer science and mathematics, with a particular focus on artificial intelligence.