Tanay Gahlot

Software Engineer at Google

Zurich, Zurich, Switzerland
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Summary

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Senior
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Top School
Tanay Gahlot is a software engineer with 12 years’ experience building scalable, production-grade systems and ML-driven products across Google, Amazon, and startups. At Google he led teams that dramatically improved aspect extraction recall for Search and launched revenue-driving online bandit and auction-based reward optimization for Google Pay India. Earlier roles include designing an O(n) tax-reporting engine at Amazon and leading NLP/semantic tooling and semi-supervised biomarker work at Innoplexus. He contributes to scientific open-source (MNE-Python) improving dataset handling and cross-version compatibility, reflecting attention to reproducibility and data ergonomics. Based in Zurich, Tanay blends hands-on algorithmic optimization with product-focused infrastructure design and a founder’s pragmatic sense for when to pivot.
code12 years of coding experience
job5 years of employment as a software developer
bookNanodegree, Artificial Intelligence, Nanodegree, Artificial Intelligence at Udacity
bookBachelor of Technology (B.Tech.), Computer Science, 8.59/10, Bachelor of Technology (B.Tech.), Computer Science, 8.59/10 at National Institute Of Technology, Goa
bookABPS
languagesEnglish, Hindi
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Stackoverflow

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Github Skills (14)

neuroscience10
data-handling10
filesystem10
file-management10
python10
data-management10
data-set10
datasets10
n9
el9
ceph9
ec9
visualization8
visualizations8

Programming languages (4)

JavaJavaScriptJupyter NotebookPython

Github contributions (5)

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mne-tools/mne-python

Mar 2014 - Jun 2014

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Role in this project:
userData Scientist
Contributions:8 commits, 1 PR, 17 comments in 3 months
Contributions summary:Tanay primarily focused on modifying data loading and handling within the MNE-python library, specifically concerning the downloading and location of sample datasets. They updated URLs, resolved path issues, and ensured compatibility across different Python versions. Their work involved directory creation and management for storing and accessing data, contributing to the overall usability and accessibility of the datasets within the MNE framework.
visualizationneuroimagingneurosciencepythonstatistics
Contributions:48 commits, 40 pushes, 3 branches in 3 years
axiscnc
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Tanay Gahlot - Software Engineer at Google