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  • šŸ”­ Iā€™m currently working on Google Cloud AI (Google Certified Professional Cloud Architect)

  • šŸŒ± Iā€™m currently learning AWS

  • šŸ‘Øā€šŸ’» All of my projects are available at Github Blog

  • šŸ“ I regularly write articles on Medium

  • šŸ’¬ Ask me about my experience working with cloud computing platforms such as GCP or AWS.

  • šŸ“„ Know about my experiences LinkedIn

  • āš” Fun fact šŸŒø My life is like a romantic comedy, but without the romance or the comedy!ā¤ļø

Blog's posts

Connect with me:

mimi-c-041414259 a102302301_23985 https://mimi-030.github.io/

Languages and Tools:

aws gcp hexo illustrator javascript jekyll linux pandas photoshop python pytorch tensorflow

mimi-030

Mimi's Projects

gcp-translation-api-demo icon gcp-translation-api-demo

Transform Your Audio with Ease: Effortlessly Transcribe and Translate with Google Cloud ( audio file & live stream)

jarvis icon jarvis

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

mimi-030.github.io icon mimi-030.github.io

šŸ‘©ā€šŸ’»šŸŒø Mimi's technical blog, crafted with ā¤ļø to share her love for all things tech!

ml-dl-practices-for-beginners icon ml-dl-practices-for-beginners

In this exercise, we will focus on three main topics for non-Deep Learning analysis and Deep Learning. The datasets are including Adult dataset, Spooky Author dataset and Sentiment Analysis dataset (IMDb+Amazon+Yelp).

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