Gyanesh Malhotra

Senior Software Engineer at Zepto

Bengaluru, Karnataka, India
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Summary

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Senior
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Gyanesh Malhotra is a Senior Software Engineer with 9 years of experience delivering scalable, domain-driven design-based services backed by thorough testing, monitoring, alerts, and automated deployment. He is based in Bengaluru, India, and is currently driving backend systems at Zepto since 2024 to help a fast-moving payments platform scale reliably. At Razorpay (2019–2023), he progressed from Software Development Engineer to Senior Software Engineer, building core fintech services for loans, cash advances, corporate cards, and automated collections. His early career includes internships at Fidelity Investments and PayPal, plus a Google Summer of Code project with Red Hen Lab, reflecting a diverse background in data science, REST APIs, and computer vision pipelines. He also contributes to open source, notably the razorpay/ifsc project where he implemented backend validation, sublet support, and API/data loading improvements across core files. He holds a B.E. and MSc from Birla Institute of Technology and Science, Pilani, Goa Campus (2014).
code9 years of coding experience
job7 years of employment as a software developer
bookBachelor of Engineering & Msc, Bachelor of Engineering & Msc at Birla Institute of Technology and Science, Pilani - Goa Campus
languagesEnglish, Hindi
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Stackoverflow

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Github Skills (12)

api-doc10
go10
api10
testing9
go-testing9
json9
data-structures8
data-structure8
alembic6
sqlalchemy6
python6
flask6

Programming languages (8)

TypeScriptShellCSSC++GoPHPHTMLPython

Github contributions (5)

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razorpay/ifsc

Feb 2020 - Dec 2022

:bank: IFSC Codes Repository
Role in this project:
userBack-end Developer
Contributions:14 reviews, 22 commits, 1 PR in 2 years 10 months
Contributions summary:Gyanesh's primary contributions involved modifications to the `ifsc` repository, focusing on backend logic. They introduced validation and sublet support, along with custom sublet features. Code changes included modifications to `Bank.go`, `IFSC.go`, and `client.go` and `constants.go`, indicating work on data loading, and API interactions. The user also made adjustments to the `go.mod` file and test files, showing responsibilities that span across core functionality and testing.
bankifscifsc-codes
GSOC-2K18: This project uses dense optical flow based on FlowNet2 model, to estimate the VO trajectory.
Contributions:22 commits, 1 push, 1 branch in 1 year 7 months
visual-odometrydeep-learningoptical-flowgsoccomputer-vision
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