My 2020 in Review

My Accomplishments in 2020

3 min readJan 1, 2021

As year 2020 draws to a close, I’m looking back at my accomplishments in the past year. Highlights include open-source projects, TensorFlow Lite, computer vision, deep learning and Art.

Awards & Recognition

I was featured by @TensorFlow in a Google Developers blog — Celebrating International Women’s Day with 20 tech trailblazers.

I was very honored to be featured on the main page of keras.io, along with 2 other ML GDEs. Got nominated by Khanh LeViet from the TensorFlow Lite team for the Google Open Source Peer Bonus Award because of my contribution to TensorFlow. And recently I was featured in the latest ML GDE community newsletter.

Online Art Gallery

For the past year, I have been studying and practicing art daily. I create an online art gallery margaretmz.art to showcase my artwork of traditional, digital and AI art. I wrote about My Journey of Becoming an Artist on Medium.

Open Source Projects

This past year I have collaborated with ML GDEs and the TensorFlow Lite community on quite a few projects.

Awesome TensorFlow Lite

I created the Awesome TensorFlow Lite repo on GitHub:

I wrote a two-part blog post Icon Classifier with Model Maker, and ML Model Binding. The Startup, the largest publication on Medium, reached out to me with interest to publish my blog post with them.

Co-present at TensorFlow Lite Training for ML GDEs

Was invited to co-present with Khanh LeViet at two sessions of TensorFlow Lite training to the machine learning GDEs (Google Developer Expert).

Co-presenter at ML GDE Training for TensorFlow Lite

Image Background Stylizer project

Project in collaboration with Sayak Paul (India), George Soloupis (Greece) and Patrick Haralabidis (Australia).

Cartoonizer project

Project in collaboration with Sayak Paul.

Selfie2Anime project

Project in collaboration with Sayak Paul.

MET Art Data Analysis and Visualization

I published a blog post on Towards Data Science for the first time!

First time publishing with Towards Data Science

Events

This year all events were virtual. Here a few events that I have organized:

Deep Learning Design Patterns Study Jam, by Google AI computer vision expert Andrew Ferlitsch.
DevFest West Coast in collaboration with multiple GDG chapters, TFUGs organizers and ML GDEs: Jerry Kurata, Chris Thompson, Vikram Tiwari, Al Kari and Peter Mooshammer.
Make Intelligent Video at Speed, by Santi Adavanti and Vinay Rao from RocketML.
Machine Learning Design Patterns book launch event with authors Lak Lakshmanan , Sara Robinson and Michael Munn from the Google Cloud team.

Book reviews

I provided technical review for these books:

Building ML Pipeline by ML GDEs Hannes Hapke & Catherine Nelson.
AI and Machine Learning for Coders by Laurence Moroney.

Online courses

I released a video course on Caster.io Android ML with TensorFlow Lite and tf.Keras.

I also published Hands on Transfer Learning with TensorFlow 2.0 video course on Packt.

Study

I have completed the GANs (Generative Adversarial Networks) Specialization by Coursera. I have also worked on a few other certificates to be completed by early 2021.