About a Graduate Student Participating in a Classmethod Internship
This page has been translated by machine translation. View original
Nice to meet you.
My name is Shinagawa, and I have just joined Classmethod.
During my graduate studies, I focused my research primarily on machine learning and deep learning, particularly in areas related to generative AI and large language models. Through my internships and research activities, I worked on creating PoCs using generative AI, investigating and implementing LLMs and lightweight models, and training and evaluating AI models.
In this article, I will write about why I chose Classmethod and what I want to challenge myself with going forward.
Why I Chose Classmethod
The reason I chose Classmethod is that I wanted to apply the knowledge I had built up in the generative AI field in a more practical way to solve challenges faced by society and businesses.
Through my graduate research and previous internships, I had focused on areas relatively close to technical validation, such as creating generative AI-related PoCs and training and evaluating AI models. In the process, while I felt the potential of AI technology itself, I became strongly interested in the question of "how to actually connect it to value within a company's operations and products."
Classmethod has deep expertise in cloud technologies centered on AWS, along with a proven track record of addressing the challenges of many clients. I believed that such an environment would allow me to leverage my experience in the AI and generative AI fields while significantly developing the practical skills I still lack.
I want to acquire the ability to connect the knowledge gained through research and PoCs into products and systems that are actually used.
That desire is the main reason I joined Classmethod.
What Excites Me Most Right Now
In a word, it is the opportunity to be involved in actual product development and improvement, as well as the implementation of new products.
Until now, I had mostly encountered AI technology in the context of research and technical validation, but I am looking forward to being involved in development that delivers value to users and clients in an environment closer to real-world operations.
Classmethod also has people with diverse areas of expertise, including AWS, data analytics, generative AI, SaaS, mobile, and security. Rather than staying confined to my own area of specialization, I want to actively venture into technologies and business domains I have not encountered before, and broaden the range of my experience.
I am excited about the opportunity to run a high-density, fast-paced PDCA cycle of diving into unknown areas, learning, implementing, and improving.
How I Want to Contribute
I believe my strengths lie in my ability to keep up with the generative AI and machine learning fields, which I have developed through research and internships, as well as my approach of forming hypotheses based on technology and validating them.
Generative AI is a rapidly changing field. New models, services, papers, and AI-related products on the cloud are appearing one after another. Within that landscape, I want to value not just chasing new technologies, but perspectives such as "what kind of challenges can this technology be applied to," "is it truly effective for the client's needs," and "how should it be integrated into existing systems."
Additionally, since I have no hesitation reading English documentation and papers, I believe I can contribute by quickly catching up on new technical information from overseas sources such as AWS and ideas not yet widely known in Japan, and sharing them with my team and within the company.
In the future, I hope to become an engineer who can be consistently involved not only in technical validation in the generative AI field, but also in understanding client challenges, planning products, proposing improvements, implementing, and operating them.
Not stopping at just testing technology, but connecting it to real value.
To that end, I want to learn many things and take on challenges at Classmethod.
In Closing
I still have many areas where I fall short, but I want to leverage my experience in the generative AI and machine learning fields that I have built up so far, while steadily acquiring skills in cloud, product development, and operations.
As a member of Classmethod, I will continue to learn and grow every day so that I can deliver value to clients and my team.
I look forward to working with you all.
