Nirav Mehta
Senior Director Of Engineering For Mortgage & Housing at Equifax
Alpharetta, Georgia, United States
Summary
🤩
Rockstar🎓
Top SchoolNirav Mehta is a seasoned engineering leader with over a decade of experience designing and delivering enterprise web and CMS solutions using the Microsoft stack, now leading Mortgage & Housing engineering at Equifax. He combines deep hands-on expertise in ASP.NET, MVC, Web API, services, and advanced T-SQL with proven delivery practices like Agile, CI/CD, and test-driven development. Nirav has repeatedly driven architecture and process improvements—introducing responsive UI patterns, adopting TFS/Git workflows, and implementing CI pipelines across teams. He also contributes to high-profile open-source build and CI work, helping improve PyTorch's build reliability and platform compatibility. Known for an eye for detail and continuous learning, he blends technical craftsmanship with operational rigor to ship resilient, compliant systems in regulated domains. Based in Alpharetta, GA, he pairs technical depth with leadership experience scaling engineering teams for complex lending and housing products.
10 years of coding experience
15 years of employment as a software developer
Bachelor’s Degree Information Technology, Bachelor’s Degree Information Technology at VIRANI SCI. & SHRI YOGIJI MAHARAJ ARTS, COMMERCE & SCIENCE - RAJKOTMaster’s Degree Information Technology, Master’s Degree Information Technology at Anand Institute of Information Science, AnandMCA IT, MCA IT at Sardar Patel University
English, Hindi, Gujarati
Github Skills (15)
docker10
dockers10
cicd10
build-automation10
ubuntu9
cuda9
clang8
python8
clangd8
machine-learning4
tensor4
deep-learning4
neural-network4
gpu4
autograd3
Programming languages (3)
Github contributions (5)
pytorch/pytorch
May 2020 - Nov 2022
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Role in this project:
DevOps Engineer
DevOps EngineerContributions:34 reviews, 43 commits, 30 PRs in 2 years 6 months
Contributions summary:Nirav's contributions primarily focus on improving the build and CI/CD processes for the PyTorch project. This includes addressing issues related to stale checks during merges triggered by automated bots. They also made changes to support new Ubuntu versions within the build configurations, addressing dependencies, and ensuring compatibility with specific compiler versions, especially regarding CUDA support. Furthermore, the user added a build flag to catch potential coding issues related to unused local typedefs.
pythongpu-accelerationdeep-learninggpunumpy
mehtanirav/pytorch
May 2020 - Jun 2022
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contributions:4 branches in 2 years 2 months
pythongpu-accelerationdeep-learninggpuacceleration
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