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Louay Rahmoon

@louayrahmoon

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Computer science graduate who evaluated safer LLM-based Text-to-SQL systems and deployed some websites.

Sweden

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At XLENT, I investigated LLM-based Text-to-SQL systems, studying how natural-language questions become executable SQL queries. I evaluated approaches to improve safety and robustness, including defenses against prompt injection and malicious SQL generation.

I built and deployed Ume Taxi Ultra, a responsive bilingual website with booking service, information, discounts, contact integration, and language switching. I also developed MovieRate, a full-stack movie review application with user accounts, database integration, and review management.

Experience

Work history, roles, and key accomplishments

Degree Project

XLENT

Mar 2026 - Jun 2026 (3 months)

Investigated LLM-based Text-to-SQL systems for translating natural language questions into executable SQL queries. Reviewed state-of-the-art approaches and analyzed security risks in Text-to-SQL pipelines.

LLM Text To SQL Prompt Engineering Entity Linking Few Shot Learning Corrections Security SQL Database Security

Education

Degrees, certifications, and relevant coursework

Umeå University

Bachelor Degree, Computer Science

2023 -

Pursuing a Bachelor Degree in Computer Science, with coursework in data structures, algorithms, databases, and computer security. Research focuses on evaluating LLM-based Text-to-SQL generation for data manipulation queries.