Notes

I became interested in PLAN-B because of its mission to help businesses grow by combining technology with practical solutions that create value for customers. Rather than simply developing software, the company focuses on solving real business challenges through digital transformation, which is something I find very meaningful. This strongly reminded me of my Web-Based Inventory Management System project, where my team developed a solution to help a local stationery store manage its inventory digitally. The goal was to reduce manual work, improve inventory tracking, and make daily operations more efficient. Through this project, I realized that technology can have a real impact on helping businesses improve their operations and better serve their customers. During my internship, I also worked on an AI-based Question Generator and other full-stack web development projects. These experiences increased my interest in using AI and software to solve practical problems and create useful solutions for users. I believe that AI has the potential to improve business efficiency and support better decision-making, and I would like to continue developing these skills while contributing to PLAN-B's technology-driven services. I would like to join PLAN-B because I want to combine my knowledge of software development and AI to create solutions that help businesses grow. At the same time, I hope to learn from experienced engineers, strengthen my technical skills, and contribute to developing innovative products that provide real value to customers.




The technologies I have taught myself are Artificial Intelligence and full-stack web development. I chose to learn them because I wanted to build software that not only solves real-world problems but also provides practical value to users and businesses. I was particularly interested in understanding how AI can be combined with web applications to create smarter and more efficient solutions. I learned these technologies through online courses, self-study, and hands-on experience during my college and internship projects. While learning, I regularly referred to online web pages, watched videos, and applied new concepts by building real projects. Whenever I encountered challenges, I researched possible solutions and experimented until I understood how the technology worked. Through this learning process, I worked on several projects, including an AI-based Question Generator, an LMS Dashboard, a Fee Dashboard, an Exam Management Dashboard, and a Web-Based Inventory Management System. These projects helped me gain practical experience with Python, FastAPI, React, APIs, databases, and integrating AI into web applications. More importantly, they taught me how to apply technology to solve practical problems, improve efficiency, and create solutions that can support the growth of businesses. This experience strengthened my confidence in learning new technologies independently, and it motivated me to continue improving my skills so that I can contribute to developing innovative software solutions in the future.




One of the most difficult technical problems I solved was during the development of our Web-Based Inventory Management System. Since the project involved both the frontend and backend, I faced challenges in connecting them correctly and ensuring that inventory data was updated accurately. At first, some data was not being displayed correctly because the frontend requests and backend API responses were not matching as expected. To identify the root cause, I tested the APIs step by step, checked the request and response data, reviewed the backend logic, and used debugging tools to find where the communication was failing. After identifying the issue, I modified the API endpoints and frontend code, tested the application repeatedly, and verified that the data was being processed correctly. This experience taught me the importance of debugging systematically instead of making random changes.
I encountered similar challenges while developing an AI-based Question Generator during my internship. Integrating the AI functionality with the backend and frontend required careful testing to ensure that questions were generated correctly and displayed properly to the user. By referring to documentation, researching solutions, and testing different approaches, I was able to resolve the issues and successfully complete the project. These experiences improved my technical problem-solving skills and taught me that understanding the root cause, testing carefully, and learning continuously are essential for developing reliable software.




At present, I am most interested in full-stack development because I enjoy working on both the frontend and backend to build complete software solutions. Through my internship and academic projects, I gained experience using React, FastAPI, APIs, and databases, which helped me understand how different parts of an application work together.
I am also very interested in artificial intelligence because I have learned AI through online courses and applied it while developing an AI-based Question Generator during my internship. This experience showed me how AI can be used to create practical solutions that improve efficiency and provide greater value to users and businesses. Although I have less practical experience with infrastructure and cloud technologies, I understand that they are essential for developing secure, reliable, and scalable applications. I am eager to learn more about these areas and expand my technical knowledge. I am willing to work across frontend, backend, infrastructure, and cloud technologies because I believe understanding the entire software development process will help me become a better engineer. I enjoy learning new technologies, adapting to different challenges, and continuously improving my skills, so I would welcome the opportunity to contribute wherever I am needed while continuing to grow professionally.




I use AI tools such as ChatGPT, copilot, Claude and Google Gemini as learning and development assistants rather than relying on them to complete my work. When I am learning a new technology or working on a project, I use AI to understand concepts, explore different approaches, and clarify errors that I do not fully understand. After receiving suggestions, I verify the information by referring to official documentation and testing the solutions myself. During my internship, I took the help of some ai tools while developing projects such as an AI-based Question Generator, an LMS Dashboard, a Fee Dashboard, and an Exam Management Dashboard. It helped me understand FastAPI concepts, debug API integration issues, improve React components, and explore better ways to structure my code. I also used AI to understand error messages more quickly, which helped me learn the underlying concepts instead of simply copying solutions. In addition to project development, I use AI to support my learning by explaining programming concepts, suggesting practice exercises, and helping me understand new technologies. I believe AI is a valuable tool for improving productivity and learning efficiency, but I also believe it is important to understand the solutions, test them carefully, and continue developing my own problem-solving skills.