Nakul Bharti
Senior Software Engineer at Frontdoor, Inc.
Bihar, India
Summary
👤
Senior🎓
Top SchoolNakul Bharti is a Senior Software Engineer with 8 years of experience building scalable backend systems and mobile apps, currently driving engineering at ProjectDiscovery after impactful work at Frontdoor where his Golang migration tripled processing speed and reduced service transfers by 25%. He led a backend team to implement a Vendor Tier system that boosted customer satisfaction by 15% and cut assignment times by 30%, while his architecture designs halved cross-team dependencies and sped onboarding. Comfortable across languages from Golang to Swift and with strong test-first discipline (90% coverage), he pairs performance optimizations with production-quality documentation. An active open-source contributor and former Google Summer of Code participant, he has contributed Softmax Regression enhancements to the well-known mlpack C++ ML library, reflecting a blend of ML insight and systems engineering. Based in Bihar, India, he also brings hands-on mobile expertise—having driven major Android/iOS migrations and large-scale OTA firmware workflows—making him adept at end-to-end product delivery.
8 years of coding experience
3 years of employment as a software developer
v m inter collegeBachelor's degree Computer Science, Bachelor's degree Computer Science at Shri Mata Vaishno Devi University
Stackoverflow
111reputation
3kreached
4answers
3questions
Github Skills (15)
regression10
machine-learning10
c-language10
cprogramming-language10
machine-learning-models10
algorithm6
math6
mongodb6
httpconnection6
android-recyclerview6
android6
pymongo6
number-theory6
url-connection6
canvas6
Programming languages (11)
Github contributions (5)
mlpack/mlpack
Nov 2019 - Feb 2020
mlpack: a fast, header-only C++ machine learning library
Role in this project:
ML Engineer
ML EngineerContributions:48 commits, 1 PR, 25 comments in 3 months
Contributions summary:Nakul's contributions focused on implementing and enhancing Softmax Regression within the mlpack library. The commits added functionality by incorporating callback parameters to the Softmax Regression and modifications to the existing implementation. They are also responsible for resolving merge conflicts. The user further added and improved test cases.
regressionheaderdeep-learningscientific-computingc-plus-plus
knakul853/mzmine3
Mar 2020 - Sep 2020
MZmine 3 source code repository
Contributions:136 pushes, 12 branches in 5 months
code-repository
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