Hassan Mkhallati

Building, Code Review and Maintenance of Python modular codebases for agentic workflows Deploying Solution on Azure with Pipelines (IaaS) Developing Gen AI & Agents use cases (Langchain, Langgraph, Crewai, Azure OpenAI) o AI Agent to automate an IT Process through several IT System integrations o SQL AI Agent for Sales

• Change Management for GitHub Copilot adoption towards 60+ developers, achieving a 20% increase in efficiency. • Conducting Gen AI Awareness; Demystification; Brainstorming sessions across various levels of the organization, resulting to 17 ideas, 5 consolidated Business Cases and 3 kick-offs • Stakeholder Management with IT, Data Scientist, Business Managers

Invited to the AI Symposium 2023 Worked on "SoccerNet-Caption: Dense Video Captioning for Soccer Broadcasts Commentaries"

• Conduct state-of-the-art exploration on Private Partial Graph Generation. • Executing a POC to ensure data privacy of graph databases with sensitive user data.

• Inference and optimization for Revenue Management • Applying combinatorial optimization to a revenue neural network for price optimization

• Project Management, Planning, Assigning and Supervising tasks • Prospecting and Negotiation • Recruiting the right student consultant. Sales revenue of 200 000€ (+30% in 2021)

AI Team Research Intern: • Conducted comprehensive research on the latest advancements in Dynamic Pricing within the retail sector. • Investigated and analyzed the current technology and methodologies employed for Indoor Positioning. • Engaged in feature extraction to facilitate the recognition of demand patterns. • Spearheaded the development of an innovative Omnichannel Omniproduct Demand Model tailored for retailers.

Work Experience with SafeӔR, a spin-off of Safran, facilitated by Junior-Entreprise XProjets Role: User Interface Developer • Responsible for designing and implementing the user interface • Established a local web server for seamless operation • Successfully integrated the interface onto a Raspberry Pi device

Executed the digital transformation of an Internet of Things (IoT) project, which involved: • Creating a database design using MySQL and implementing it on a local server • Developing a RESTful API using PHP to facilitate communication between the IoT device, server, and an Android application • Constructing the user-facing Android application using Java

Development and implementation of a predictive bankruptcy and fraud model for Belgian companies using financial data collected from the National Bank of Belgium and the Crossroads Bank for Enterprises websites. This project involves web scraping, data analysis and visualization, as well as the development and evaluation of logistic regression and random forest models.