Mehul Nirala
Software Engineer at Microsoft
Hyderabad, Telangana, India
Summary
👤
Senior🎓
Top SchoolMehul Nirala is a software engineer with 9 years of experience, currently building products at Microsoft from Hyderabad with a background spanning frontend, automation frameworks, and backend C++/Java systems. He combines hands-on application design and testing with a knack for standardizing deployments via Git-based workflows and custom automation. His open-source work includes meaningful contributions to the mlpack C++ machine learning library—adding image loading, robust CSV/TXT/TSV tests, and LSTM cell-state foundations—showing practical ML data engineering skills beyond typical application work. Earlier, he prototyped media rendering for PowerPoint during a Microsoft internship, reflecting an ability to turn research POCs into production-ready designs. With a BTech from IIT Kharagpur and ongoing management studies, he pairs strong technical depth with growing product and management insight. Peers know him for bridging front-end polish with low-level performance work and for shipping reliable, test-driven code.
9 years of coding experience
Postgraduate Diploma Management , Postgraduate Diploma Management at IMT CDL GhaziabadBachelor of Technology Computer Science, Bachelor of Technology Computer Science at Indian Institute of Technology, Kharagpur
Stackoverflow
183reputation
192kreached
3answers
1question
Github Skills (20)
c-language10
image-processing10
machine-learning10
data-loading10
cplus10
cpp10
cprogramming-language10
testing9
data-engineering9
deep-learning8
lstm8
dicom6
nodejs6
opengl6
yarnpkg6
Programming languages (12)
Github contributions (5)
mlpack/mlpack
Feb 2019 - Aug 2019
mlpack: a fast, header-only C++ machine learning library
Role in this project:
ML Engineer & Data Engineer
ML Engineer & Data EngineerContributions:98 commits, 16 PRs, 175 comments in 5 months
Contributions summary:Mehul primarily focused on improving the data loading capabilities of the mlpack library, a C++ machine learning library. Their contributions included adding new image loading features and creating tests for different file formats like CSV, TXT, and TSV files to ensure data is loaded correctly. The user enhanced the library's functionality by adding the ability to load image data, and incorporating various tests. The user also worked on code that was a base for other contributions by adding cell state functionality to the LSTM layer.
regressionheaderdeep-learningscientific-computingc-plus-plus
MuLx10/MuLx10.github.io
Jun 2018 - Mar 2021
My personal portfolio website
Contributions:1 release, 99 commits, 2 PRs in 2 years 9 months
personal-portfolio-websitereactnextjs
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