About
AI Engineer and Data Scientist with 1+ year of production experience building and shipping multi-agent LLM systems and NLP pipelines across logistics and financial services.
Delivered measurable results in live environments, delivering 85% accuracy, 80% reduction in manual processing, and 30% improvement in first-contact resolution.
Proficient in Python, LangChain, and Azure AI across the full GenAI stack, from RAG architecture to prompt engineering and deployment.
What I'm looking for
I'm seeking AI Engineer, Data Science, or Machine Learning Engineer opportunities where I can build intelligent products using LLMs, Generative AI, NLP, and machine learning. I'm particularly interested in developing AI agents, RAG systems, and production-ready AI applications on Azure, with a focus on turning the latest AI capabilities into practical solutions that deliver measurable value.
Experience
Junior Data Scientist
Gulf Warehousing Company Logistics (GWC Logistics)
May 2025 – Nov 2025
• Designed and deployed LLM-powered AI agents across customer and operations workflows, improving first-contact resolution by 30% and reducing response times by 45%
• Automated email and shipping document intake with an AI agent, achieving 85% extraction accuracy and cutting manual entry by 70%
• Built an NLP-driven invoice extraction pipeline that mapped billable services to standardized service categories, reducing manual mapping by 80% and processing time by 70%
• Evaluated AI agent output quality via field-level acceptance rates, identifying recurring failure patterns and improving accuracy through prompt engineering and pipeline refinement
LangChainAzure AIPrompt Engineering
Data Scientist Intern
Commercial Bank of Qatar
May 2024 – Jul 2024
• Designed an automated financial spreading system using Python, increasing data extraction efficiency by 55% and accuracy by 35%.
• Analyzed large datasets of financial and auditing data, improving risk assessment accuracy by 35%.
• Collaborated with the finance team to integrate the automated system with existing financial tools, reducing manual processing time by 35%.
PythonData AnalysisFinancial Spreading
Data Warehouse Analyst Intern
Ooredoo
Jun 2022 – Aug 2022
• Created technical design documentation using UML and ERD diagrams, reducing development time by 20%.
• Maintained Power BI dashboards and databases using SQL, increasing data accuracy and efficiency by 20%.
SQLPower BIUML
Education
University of Doha for Science and Technology
B.Sc. · Data Science and Artificial Intelligence
2020 – 2024
Skills
Prompt EngineeringFastAPIAI AgentsGenerative AIRAGPythonLanggraphLangchainData ScienceAzure AI FoundryAI EngineeringMachine Learning
Languages
English (Native or bilingual proficiency)Urdu (Native or bilingual proficiency)Arabic (Limited working proficiency)
