iCustoms
Usman Ali is a Data Scientist at iCustoms, with a strong focus on MLOps and document processing technologies. Since October 2022, Usman has designed an AWS-based Intelligent Document Processing system that streamlined back-office operations and reduced processing time by 70%. Additionally, Usman developed a multi-agent LLM system for HS code classification, enhancing decision-making across multiple countries. Previously, Usman worked as a Machine Learning Engineer, managing a large dataset for text classification and implementing automated data preprocessing pipelines that improved efficiency. Usman holds a Bachelor's degree in Computer Science from Hazara University, earned between 2016 and 2020.
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iCustoms
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iCustoms.ai simplifies global trade by automating customs compliance, ensuring fast, accurate, and hassle-free import/export processes. The benefits of using iCustoms.ai include: Automation: Streamlines customs compliance by automating documentation and tariff classifications. Accuracy: Reduces errors with precise, real-time updates on regulations and requirements. Efficiency: Speeds up import/export processes, minimizing delays and avoiding costly mistakes. Cost Savings: Lowers operational costs by improving workflow efficiency and reducing manual tasks. Compliance: Ensures up-to-date adherence to global trade regulations, mitigating legal risks. Scalability: Adapts to businesses of all sizes, handling multiple shipments and cross-border operations smoothly.