Internship report as an automation engineer
| bracu.degree.level | Undergraduate | |
| bracu.type.group | Student Works | |
| datacite.rights | Open Access | |
| dc.contributor.advisor | Alam, Md. Ahasanul | |
| dc.contributor.author | Frahim, Shahriar Azad | |
| dc.contributor.department | Department of Computer Science and Engineering | |
| dc.date.accessioned | 2026-04-27T04:49:24Z | |
| dc.date.available | 2026-04-27T04:49:24Z | |
| dc.date.copyright | 2026 | |
| dc.date.issued | 2026-01 | |
| dc.description | Cataloged from the PDF version of internship report. | |
| dc.description | Includes bibliographical references (page 21). | |
| dc.description | This internship report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2026. | en_US |
| dc.description.abstract | This report presents the outcomes of an internship conducted at NEXT Ventures, a multinational fintech company, where the primary focus was on workflow automation using the open-source platform n8n, alongside frontend engineering practices. The internship aimed to identify repetitive and time-consuming operational tasks and transform them into scalable, automated workflows to improve efficiency, accuracy, and reliability within organizational processes. Throughout the internship, several real-world automation solutions were designed and implemented, including automated payment processing, Know Your Customer (KYC) onboarding, meeting scheduling with reminders, and weekly performance tracking systems. These workflows integrated multiple services and APIs, significantly reducing manual intervention and operational errors. An iterative Software Development Life Cycle (SDLC) approach was followed to ensure continuous improvement, stakeholder feedback incorporation, and system scalability. In addition to automation, the internship involved hands-on frontend development using modern technologies such as React, Tailwind CSS, API integration, state management, asynchronous programming, and performance optimization techniques. Close collaboration with design and product teams ensured usability, responsiveness, and alignment with business requirements. The internship demonstrates the practical applicability of low-code workflow automation tools like n8n in a real-world fintech environment. The results highlight how effective automation and frontend integration can enhance productivity, operational transparency, and long-term process optimization. This experience contributed significantly to the development of technical, analytical, and professional skills relevant to modern software engineering practices. | en_US |
| dc.description.degree | Bachelor of Science in Computer Science and Engineering | |
| dc.description.statementofresponsibility | Shahriar Azad Frahim | |
| dc.format.extent | 21 pages | |
| dc.identifier.other | ID 24241153 | |
| dc.identifier.uri | http://hdl.handle.net/10361/28087 | |
| dc.language.iso | en | en_US |
| dc.publisher | BRAC University | en_US |
| dc.rights | BRAC University internship reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. | |
| dc.subject | Workflow automation | en_US |
| dc.subject | Frontend engineering | en_US |
| dc.subject | Fintech systems | en_US |
| dc.subject | API integration | en_US |
| dc.subject | Automation engineer | en_US |
| dc.subject.lcsh | Automation. | |
| dc.subject.lcsh | Engineering--Practice. | |
| dc.subject.lcsh | Engineering--Vocational guidance. | |
| dc.title | Internship report as an automation engineer | en_US |
| dc.type | Internship Report | en_US |