Prateek Maheshwari

Senior Software Engineer at Bounteous

Gurugram, Haryana, India
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Summary

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Senior
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Top School
Prateek Maheshwari is a Senior Backend Engineer with six years of experience building and modernizing high-performance web and ML-enabled systems, currently driving backend work at Bounteous. He has a track record at RxLogix of owning end-to-end stacks—Groovy/Grails core logic, Node.js/Python APIs, Angular migrations—and securing major pharma clients through pragmatic modernization. Comfortable bridging ML and backend engineering, he contributed perceptron and activation implementations to an open-source beginner DSA/ML repo, reflecting his interest in teaching and accessible tooling. A former Django mentor who helped 60 students, he combines hands-on delivery with mentoring and clear documentation practices. Based in Gurugram, he blends product-focused engineering with practical ML integrations that speed customer outcomes.
code6 years of coding experience
job3 years of employment as a software developer
bookBachelor of Technology - BTech, ENGINEERING, 8.55, Bachelor of Technology - BTech, ENGINEERING, 8.55 at JSS ACADEMY OF TECHNICAL EDUCATION, NOIDA
book12th Grade, Science, 90( Percentage), 12th Grade, Science, 90( Percentage) at Rajiv International School
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Stackoverflow

Stats
1reputation
204reached
0answers
1question
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Github Skills (13)

algorithm10
data-structures10
algorithms10
perceptron10
machine-learning10
python10
data-structure10
numpy10
user-friendly9
deep-learning8
deeplearning-ai8
django-forms6
django6

Programming languages (8)

TypeScriptJavaC++CSSJavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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geekquad/AlgoBook

Oct 2020 - Oct 2020

A beginner-friendly project to help you in open-source contributions. Data Structures & Algorithms in various programming languages Please leave a star ⭐ to support this project! ✨
Role in this project:
userML Engineer
Contributions:6 commits, 6 PRs, 1 comment in 1 day
Contributions summary:Prateek contributed to machine learning concepts within the repository. Their work included implementing a Softmax function, building basic perceptron models, and creating functions for ReLU activation and perceptron-based AND gate logic. These contributions focused on foundational elements commonly found in introductory machine learning projects. The user's work appears to be geared toward a beginner-friendly introduction to these concepts, given the project's context.
pythonup-for-grabsfirst-timersmachinelearningjavascript
A curated list of projects with proper implementations with a goal to help you improve and learn through Project-based-learnings.
Contributions:12 reviews, 44 commits, 16 PRs in 2 months
implementationspythongoalmachine-learninglearnings
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Prateek Maheshwari - Senior Software Engineer at Bounteous