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測模型及追蹤模型捕捉各物件的序列影像， 並使用 特徵提取模型對該影像提取物件特徵，最終將資訊存於資料庫中。 技術： YOLOv4 、 DeepSort 、 DGNet 車周物件追蹤系統 實驗室產學合作案(義隆電子) 自駕車系統必須依據車周資訊決定車輛行為。透過在車體四周加

technical aspects of solution design, ensuring the feasibility and efficiency of proposed solutions while utilising my expertise in managing teams. London, GB Skills PHP : CodeIgniter, Laravel, Symfony, Wordpress JavaScript : Angular, React, Next.js, TypeScript, Node.js Databases : MySQL, PostgreSQL, MongoDB Java : Spring, Maven, Freemarker AI/ML : YOLO, GPT-4, OpenAI, Keras Shell Scripting : Python, Perl, Ruby Web : CSS, HTML, SEO Web Services : SOAP, XML-RPC, REST Version Control : Git, SVN, CVS CI/CD : Jenkins Other : Adobe Commerce (Magento), Adobe App Builder, Adobe Experience Manager (AEM), Adobe Creative Suite Google Tag Manager (GTM) Google Analytics, Dalim

the Aircraft Engine MFI-17 Super Mushshak Part Task Trainer (Simulator) Team lead of the Hardware installation and interfacing with soft instruments Using National Instruments NI-Daq 6343 Hardware designing of Trim Panel using Arduino Uno Foreign Object Debris Detection, Classification, and Localization using Deep Learning Python language based Project using YOLO-V7 (you only look once) Addressed the Class imbalance in FOD-A Dataset FOD detection/localization with improved accuracy Data Acquisition design and implementation of a Level-D Simulator (C130-H) NI-PXI Chassis-based DATA ACQUISITION (More than 2000 IO's) Courses AW-...

forward compatible 4.Performance tuning • Identify performance bottlenecks and finetume 5.Framework development • MBaseSDK, a toolkit for iOS app UI development, published on cocoapods 6.Communicate with with PM / UX designer / backend developer • Assist colleagues and provide suggestions • API integration with team Sr SW Engineer • YOLO Future Life Co.LtdProduct for travel 1.Technology assessment • Difficult breakthrough • Architecture design • Choosing and integrating hird-party software for project 2.Software development and maintenance • iOS app with Objective-C • API integration with team 3.AppStore publish Onsite Sw Engineer • XUENN Pte LtdProduct for

系統：增加維修實時性、防止漏單，同時推進無紙化作業。 智能影像監控安全專案 智能影像監控系統通過視覺識別技術搭配Yolo模型，確保作業員合規穿戴安全裝備以及現場危險行為辨識，當異常發生立即報警並通報上級主管。同時建立實時安全

Sayed Mohammad Ahmadi Python Developer | Deep Learning | Computer Vision Specialist | C++ & C# Developer | Lifelong Learner | 7+ Years of Experience Qom, Qom Province, Iran I am a Python Developer with expertise in Deep Learning and Computer Vision, backed by 7+ years of experience. Skilled in C++ and C# as well, I develop robust solutions that encompass various programming paradigms. Passionate about staying up-to-date with the latest advancements, I excel at leveraging AI and computer vision techniques to derive valuable insights from visual data. I have successfully applied my

相關： HTML、CSS、JavaScript、ASP.NET MVC、Web API、Web Service 版本控制： Azure DevOps Server 、Git、SVN、VSS 資料庫： Oracle DB、Oracle DB Gateways、SQL Server、SQLite 伺服器&虛擬化： IIS、Nginx、Windows Server、Windows CE、Solaris、VirtualBox ML&DL： YOLO、Darknet、Pandas、Seaborn 管理分析相關： 專案管理、IT治理服務管理、8D Report、統計分析、Excel、Tableau 其它： SoftwareAG webMethods 、SAP、救護技能、財務會計 工作經歷 ERP資訊工