I am generally interested in the field of computer vision, particularly in foundation models for computer vision, generative models for images, implicit representation and representation learning.
I work on developing tools for Machine Learning parctioners at Weights & Biases. My day-to-day tasks include
- developing and maintaining integrations with open-source libraries such as keras, ultralytics, super-gradients, kaolin-wisp, etc.
- prototyping experimental tools in the Weights & Biases ecosystem as part of wandb-addons.
- writing exciting and beautiful blog posts on machine learning using W&B Reports.
- talk about my work at different webinars.
I’m fairly active in terms of open-source contributions. Besides wandb, I regularly contribute to Keras, KerasCV, and Keras Examples. Thanks to my job, I get to contribute to a lot of other open-source repositories including Ultralytics, Super-Gradients, Kaolin-Wisp, PyTorch Geometric, and many more. I have also developed and am maintaining the integrations of Weights & Biases with many of these repositories. I am also actively working on wandb-addons which hosts a set of experimental utilities and integrations for Weights & Biases.
My Career Timeline:
- Machine Learning Engineer at Weights & Biases (Jan 2022 - Present)
- Google Developer Expert for Machine Learning (JAX) (Jun 2022 - Present)
- Staff Machine Learning Engineer at Ignitarium (Jul 2021 - Dec 2021)
- Software Development Engineer at IBM (Jan 2020 - Jul 2021)
- Software Development Engineer at HighRadius (Jun 2019 - Dec 2019)
- Failed entrepreneur and Machine Learning Researcher at DeepWrex Technologies
In my free time, I watch anime, read books and manga, play video games, write poetry, sketch on ProCreate, and ocassionally dabble in the dark arts of computational graphics.