I build things at the intersection of AI and data, LLM-powered agents, automated reporting pipelines, and dashboards that actually get used. Over the past 3+ years I've shipped production solutions for clients across the EU, USA, and MENA using LangChain, Azure OpenAI, Power BI, and SQL.
My graduation research took LLMs beyond chat, using them as an evolutionary engine to autonomously design metaheuristic algorithms, cutting the optimality gap from 23% down to 5.5% on classical NP-hard benchmarks. Currently working on LLM agent infrastructure and WMS data systems.
Divide and Conquer & Total Conquer: Architectural Evolution of Metaheuristics using LLMs Graduation thesis · Tanta University · 2025
Used LLMs as an evolutionary engine to autonomously construct metaheuristic architectures — extending ReEvo. TC strategy co-designed a hybrid Memetic Algorithm from a standard ACO with zero manual intervention.
5.50% optimality gapvs23.25% baseline·p < 0.001· TSPLIB · ACO · TSP · CVRP