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Maqbool Hussain Qureshi Professional Summary: +12 Years of Work experience involving Book-keeping, Billing, Sales Accounting, Sales Reconciliation, Accounts Payable & Receivable Reconciliation, Internal Audit, Cash Handling, Pay Roll, Bank Reconciliation, Maintain of GL Accounting System, Inventory Management System & Verification, & Preparation of Income Tax, Sales Tax and Withholding Tax Documents & ERP . ________________________________________________________ Current Address: Street No. 18, Al Khobar Al Shamaliya-KSA Contact NoWhatsApp NoEmail: [email protected] Manager Finance & Accounts Passport No. UYIqama NoAvalaibility . Immediately Professional Work Experience: Tax Consultant & Accountant Qureshi's Financial Services & Solution Islamabad-Pakistan ( AprilJanAccounting & Book Keeping.

2023 | Taipei, Taiwan Placement as backend developer at Ministry of Agriculture - Build inventory application for Ministry of Agriculture, using Microservices architecture - Build Microservice system, SSO system, Telegram Bot Associate Software Engineer • ICUBE by SIRCLO AgustusJuni 2023 | Taipei, Taiwan - Build e-commerce applications for large companies. - Create a rest api system, graphql for order, product, shipping needs Junior Software Engineer • ICUBE by SIRCLO JanuariAgustus 2022 | Taipei, Taiwan Skills: Redis · Magento · GitHub · Elasticsearch · XML · phtml · GraphQL · REST APIs · PHP · Docker Full Stack Engineer • Informent FebruariJanuari 2021 | Taipei, Taiwan - Design and implement an analytical dashboard that integrates with POS systems, providing real

. software engineer Taipei，TW [email protected] Experience SHOPLINE , November 2021 ~ Now Software Engineer maintain and improve million-level data sql Handling third party API, ex: shopback, LINE shopping, LINE PAY, tradevan, cetustek Build and maintain event source mapping lambda with SQS Developed and maintained a comprehensive POS system, enabling seamless inventory management, order processing, and payment integration Collaborated with cross-functional teams to gather requirements, design system architectures, and deliver robust POS features Evaluated and implemented technical solutions to address complex business requirements, taking the lead role in the development process Participated in code reviews and

Developer Seasonal • PT. Wiraharja Graha Software JanJul 2023 Temporarily replacing another developer to collaborate with the back-end team and develop a highly complex and powerful desktop-based application. Maintenance, bug fixing, and developing new features on the LayanObat Desktop platform Creating an automatic updater for the LayanObat POS system Skills: Java · WebSocket · Object-Oriented Programming (OOP) · Git Software Developer • CV. Besar Anugerah IT Consultant NovMay 2022 Collaborating with other developers to develop, test, and improve multiple applications across various platforms, as well as maintaining various applications to ensure program stability. Maintenance, bug fixing, and developing

掛牌上市(股票代號:VIVIPOS Co., Ltd ，2008//08 Chief Technology Officer VIVIPOS 為 FECPOS(伍豐科技 股票代號:8076) 之子公司. 主要為提供茶飲/餐飲業完整的 POS 整合方案. 其中包含了特製的 POS 硬件/ POS 前台軟件 / VIVICONNECT 後台中轉平台 / VIVICLoud 雲端報表及決策系統. 當時我的開發目

future. Head of Business Unit • eSobi Co., Ltd. eSobi Co., Ltd. is a professional design and software engineering agency. We help clients with end-to-end solutions for: - Web projects - Apps on both iOS and Android - UI/UX design - Code review - ERP, and POS system solutions - Project scope management - Project risk management - Human resources management There are 13 members in our team, including 3 iOS engineers, 3 Android engineers, 2 front-end engineers, 1 artist, 1 QA, 1 PM, and 1 CTO. The price of the cases we've handled is about

system that will be used by Diebold's global 500 leadership Built a machine-learning-based deal size prediction model Developed 7+ Dashboards on Power BI (Win-loss analysis) and presented the analytics insights to relevant clients Researched and developed an innovative GDPR (General data protection rule) compliant recommender system, that can recommend items without using profile data Worked with big data sets: 2.8 million transactions from the retail domain Used Knowledge Graph embedding algorithms to make the solution completely 100% scalable for similar data sets Exploratory data analysis to identify the performance bottleneck of large POS