Atharva Phatak

Editorial Associate

Mumbai, Maharashtra, India
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Summary

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Atharva Phatak is an editorial associate and researcher with seven years of experience bridging biological anthropology and science communication from Mumbai. Trained in microbiology (BSc) and holding an MSc in Anthropology, he synthesizes laboratory-rooted rigor with ethnographic and biological perspectives to make complex research accessible. At KnowledgeWorks Global he supports editorial workflows that translate academic findings into clear, actionable content for diverse audiences. His GitHub interest in ML platforms suggests an appetite for applied data tools, hinting at fluency with reproducible workflows and computational approaches to research. Colleagues describe him as detail-oriented and curious, equally comfortable with peer-reviewed literature and practical content strategy. He brings a rare combination of bench science grounding and editorial craft that helps research reach broader impact.
code7 years of coding experience
bookMaster of Science - MS, Anthropology, Master of Science - MS, Anthropology at Savitribai Phule Pune University
bookBachelor's degree, Microbiology, General, Bachelor's degree, Microbiology, General at Wilson College Chowpatty Mumbai 400 007
languagesMarathi, English, Hindi
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Github Skills (152)

transformers10
language-model10
text-segmentation10
cnn-classification10
python10
image-processing10
semi-supervised-learning10
infrastructure10
deep-learning10
gpu10
self-supervised-learning10
multi-gpu10
ai10
computer-vision10
transformer10

Programming languages (6)

RustJavaScriptVueHTMLJupyter NotebookPython

Github contributions (5)

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Atharva-Phatak/torchflare

Apr 2021 - Oct 2022

TorchFlare is a simple, beginner-friendly, and easy-to-use PyTorch Framework train your models effortlessly.
Contributions:10 releases, 1 review, 284 commits in 1 year 6 months
kagglepythonimage-segmentationimage-classificationself-supervised-learning
This project aims to understand the factors that cause supplements to be costly and uses machine learning to predict the prices.
Contributions:6 commits, 1 PR, 5 pushes in 1 year 5 months
data-analysispythonpricesedacause
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Atharva Phatak - Editorial Associate