Aavishkar Mishra

Software Developer at Groove

Bengaluru, Karnataka, India
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Summary

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Aavishkar Mishra is a software developer based in Bengaluru with six years of experience building web applications using the MERN stack, JavaScript, and Node.js. He has progressed from internships to full engineering roles and is currently developing products at Helply after engineering stints at Scream. Aavishkar combines hands-on development with mentoring and open-source engagement, having contributed practical, multi-GPU and executable examples to TensorFlow’s widely used documentation. As a founder of Manthan and a past organizer/mentor for community programs like GirlScript Summer/Winter of Code, he brings entrepreneurial initiative and community-first collaboration to projects. He’s known for turning ideas into polished, usable features and for making documentation more runnable and accessible for other engineers.
code6 years of coding experience
job4 years of employment as a software developer
bookBachelor of Technology - BTech, Computer Science, 8.18 CGPA, Bachelor of Technology - BTech, Computer Science, 8.18 CGPA at Tezpur University
bookKendriya Vidyalaya Sangathan
languagesEnglish, Hindi
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Stackoverflow

Stats
1reputation
48reached
0answers
1question
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Github Skills (11)

machine-learning10
tensorflow10
mlmodel10
save10
data-model10
documentation10
saves10
deeplearning-ai9
deep-learning9
python8
deep-neural-networks8

Programming languages (9)

TypeScriptCSSC++DIGITAL Command LanguageJavaScriptGoHTMLJupyter Notebook

Github contributions (5)

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tensorflow/docs

Jul 2020 - Sep 2020

TensorFlow documentation
Role in this project:
userML Engineer
Contributions:3 reviews, 17 commits, 1 PR in 1 month
Contributions summary:Aavishkar primarily focused on updating the `saved_model.ipynb` documentation within the TensorFlow documentation repository. Their contributions included adding support for multi-GPU usage in saved models, correcting model paths for TensorFlow Serving, and incorporating executable code snippets for improved usability. The user also made iterative improvements to the documentation by adding warnings and examples.
deep-learningmachine-learningdeep-neural-networkstensorflow-tutorialstensorflow
Records of 100 days of Machine Learning
Contributions:45 commits, 1 PR, 38 pushes in 10 months
lightgbmrecordsmachine-learningdata-science
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