Arvind Ram Email & Phone Number

I am a graduate student at Northeastern University, pursuing a Master’s in Software Engineering Systems. With a strong foundation in object-oriented design, software engineering, and database management, I have honed my technical expertise through both academic projects and professional experience. As a Salesforce Developer at NTT DATA Services, I designed and implemented Apex triggers, developed RESTful web services, and customized Salesforce workflows to enhance system efficiency and business process automation. My work led to significant improvements in workflow efficiency, system interoperability, and data management using MySQL and MongoDB.I am passionate about developing scalable solutions that improve user experience and business outcomes. My technical skills include proficiency in Python, C++, Java, and JavaScript, along with hands-on experience in web technologies such as React and Node.js. I have also built AI-driven platforms and implemented CI/CD pipelines using Azure DevOps. I’m always eager to leverage my skills in software engineering and system design to solve complex problems and create impactful, data-driven solutions.Skills: Programming Languages: C++, Python, Java, JavaScript, HTML, CSS, Linux Shell ScriptingWeb Technologies: React, Node.js, JSONDatabases: MySQL, MongoDB, PostgreSQLTools & Technologies: GitHub, Prisma, Stripe, Tailwind CSS, Shad CN

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  Salesforce Developer

  Ntt Data Services

  Sep 2021 - Jul 2023 - Chennai, Tamil Nadu, India

  • Designed and implemented Apex triggers and classes to automate business processes, resulting in a 25% increase in workflow efficiency.• Developed RESTful web services to facilitate data exchange between Salesforce and external systems, enhancing system interoperability by 35%.• Customized Salesforce workflows, validation rules, and process builders to streamline business processes, reducing manual tasks by 20%.• Optimized user interfaces by developing custom Salesforce Lightning Components and Visualforce pages, improving interaction efficiency by 20%.