2025
PhD Student in Computer Engineering · Polytechnique Montréal & Mila
Anas Dorbani
Building the next generation of intelligent data systems — where large language models meet databases.
Montréal, Canada
A PhD student at Polytechnique Montreal specializing in the intersection of AI and data systems. My research focuses on multimodal data integration, tabular understanding, and enhancing database systems with large language models. I am passionate about building the next generation of intelligent data systems.
Data & AI SystemsMultimodal Data IntegrationTabular Understanding
02/Background
Education
2025 - Present
PhD in Computer Engineering
Polytechnique Montreal & Mila · Montreal, Canada
- Focus
Researching multimodal data integration and tabular understanding, with a focus on large language models and database systems.
- Advisor
- Research Lab
2019 - 2024
B.Sc. in Computer Science
National School of Computer Science And System Analysis · Rabat, Morocco
- Thesis
Developed an automated approach to schema generation and data processing for financial compliance systems using advanced language models, improving metadata consistency and enhancing overall data integration and interpretability.
- Industry Collaboration
Oracle Labs
03/Career
Experience
February 2024 - July 2024
Oracle Labs
Research Assistant · Data Integration Team
Casablanca, Morocco
Automated schema generation for Oracle's Financial Crimes & Compliance systems, enhancing data processing. Fine-tuned 7B models to optimize schema and handle abbreviated column names. Created a framework to evaluate schema generation and data integration accuracy. Improved metadata consistency from 0.4 to 0.6, boosting data interpretability. Optimized output parsing for better data flow and results with 7B models.
June 2023 - August 2023
Oracle Labs
Research Assistant · AutoMLx Team
Casablanca, Morocco
Enhanced machine learning explainability for the AutoMLx project by optimizing LFI/GFI explainers, reducing their processing time by 80% and improving inference speed. Streamlined memory usage from 20GB to 4GB, lowering operational costs for explanation services. Achieved 83% code coverage to ensure reliability and maintainability of explainability features. Collaborated with cross-functional teams to deliver scalable, high-performance ML explainability solutions within AutoMLx
July 2022 - August 2022
National University of Rabat
Research Assistant · Valuation and Transfer Management
Rabat, Morocco
Engineered a deep learning model to predict RFID pricing by scraping specifications and market data. Deployed the solution on GCP using Docker for scalable performance and built a Django web application to streamline data collection and real-time model testing.
04/Academia
Teaching
INF3710Files and Databases
Polytechnique Montreal
- — Fall 2025 - TA for Prof. Amine Mhedhbi
- — Winter 2026 - TA for Dre. Franjieh El Khoury
Introduction to files and databases: needs analysis via the entity-relationship model; relational model and relational algebra; SQL DDL/DML and embedded SQL; concurrency control and transaction management; relational schema design (functional dependencies and normal forms); storage models and file structures; indexing and hashing.
05/Recognition
Awards & Grants
2025
VLDB Travel Grant
Very Large Data Base Endowment Inc.
Funding support for students, researchers, and faculty to attend the VLDB 2025 conference in London, covering travel, lodging, and free registration to promote participation in database research.
06/Open Source
Projects
September 2024 - Present
DBMS extension integrating LLM and RAG into OLAP systems. Developed FlockMTL from infrastructure design to code implementation and optimization. Designed custom map and reduce functions to integrate advanced workflows into relational database systems. Implemented dynamic batching over tuples to improve query execution efficiency.
SecureStream
FFX