Tech Community Japan

🗓️ Event detail

• You can meet people from diverse IT backgrounds at a cozy bar in Shibuya. This is an excellent opportunity to connect with new people and explore career opportunities. I aim to keep the event casual.
• Our shuffle app ensures you meet different people each round for meaningful professional connections!
• Past participants 👨🏻‍👩🏻‍👦🏻‍👦🏻 (backend engineer, frontend engineer, infra engineer, data engineer, designer, company executives like CEO, CTO, freelancer, digital nomad, PMO, recruiter, people looking for an engineering job, traveler, new graduates, etc...)
• The reception will start at 18:55 to let people check in smoothly.

📌 Fee

Let's casually chat with software engineers in a small group (4-6)! 👨‍💻
You can connect with software engineers outside of your work and exchange ideas and gain new perspectives with them ✨

📌 Requirements to attend this event

• LinkedIn profile — Please share the link in the sign-up question, or DM the organizer.
• Responsiveness — Please reply to messages from the organizer when necessary.
• Software engineer — This event is for software engineers.
• Conversational English (You don't have to be fluent)

⚠️ Note

• The group size is expected to be 4–6 people.
• You can sign up on a waitlist. Once we’ve reviewed your LinkedIn profile, we will approve you.
• The event lasts 1.5 hours, but you can continue chatting with people if possible.
• If you find out you can't make it to this event, please cancel your registration as soon as someone else can take your spot.
• The location is near Shibuya Station. The exact location will be shared once your registration is confirmed.

🌐

少人数（4〜6名）で、ソフトウェアエンジニア同士で気軽に話しましょう！ 👨‍💻
普段の仕事以外でエンジニア同士がつながり、アイデアを交換したり新しい視点を得たりできるイベントです ✨

📌 参加条件

• LinkedInのプロフィール：申込時の質問欄にリンクを記入するか、主催者にDMで送信してください。
• メッセージ返信：必要に応じて主催者からの連絡にご返信ください。
• ソフトウェアエンジニアであること：本イベントはソフトウェアエンジニア限定です。
• 日常会話レベルの日本語（流暢である必要はありません）。

⚠️ 注意事項

• グループの定員は4〜6名を予定しています。
• イベント自体は1.5時間ですが、その後も交流を続けていただいて構いません。
• 参加できなくなった場合は、他の方へ枠を譲るため、速やかにキャンセル手続きをお願いします。
• 開催場所は渋谷駅近くです。詳しい場所は参加確定後にお知らせします。

🌐

Most LLMs live in huge data centers. However, recent advances now allow models to be personalized and deployed on any computer with no internet connection.

How do you teach a model new knowledge and how do you make it smaller? Join Ovi as he walks through the whole journey of building your own personalised lightweight AI model, step by step.
This session is for everyone — developers and anyone curious about AI.

🎤 Presentation

• Overview:
  We’ll start with an off-the-shelf AI model.
  From there, we’ll explore how fine-tuning teaches them new information and how compression allows them to run anywhere.
  We’ll finish with a live demo of a model that can answer questions about our custom information.
  Whether you're a developer or simply curious about AI, you’ll leave with a clear understanding of how AI models learn and common techniques for compressing them.
• Format:
  Presentation + Live Demo + Q&A
• Duration:
  About 30 - 40 minutes (the rest of the time will be a networking part)
• Note:
  No equipment needed: speaker will handle all setup

🧑‍💻 About Ovidijus Parsiunas

Ovidijus is a Software Engineer from the UK who recently moved to Japan. A Machine Learning enthusiast since 2017, he has implemented multiple AI-driven solutions and is an experienced presenter on AI/ML topics. He owns several popular Open Source libraries including Deep Chat, MyVision, and Agentic Airport, and is one of the few people worldwide to have contributed to Open Source every single day for the past 7+ years. He was also a former member of the Machine Learning Tokyo group, which he joined back in 2018.
Here is his LinkedIn profile.
https://www.linkedin.com/in/ovidijus-parsiunas-1a8a85106/

📌 Fee