Prabhat Tiwari
Senior Software Development Engineer at Amazon Web Services (AWS)
New Jersey, United States
Summary
👤
Senior🎓
Top SchoolPrabhat Tiwari is a Senior Software Development Engineer with 9 years of professional experience and a decade-plus engineering background across fintech, cloud, media, and insurance firms, currently building at AWS from New Jersey. He has progressed through technical leadership roles at BlackRock, Prudential, Audible, and others, delivering robust systems and mentoring teams while maintaining a hands-on engineering practice. Prabhat pairs production-grade backend and test-automation expertise with practical ML tooling experience—his open-source contributions to the popular mlpack C++ library focus on strengthening K-means correctness and edge-case coverage. Known for turning complex requirements into reliable, well-tested code, he brings a pragmatic, QA-minded approach to software quality and system reliability.
9 years of coding experience
16 years of employment as a software developer
Bachelor of Engineering (BEng), Computer Engineering, Bachelor of Engineering (BEng), Computer Engineering at Institute of engineering and technology
Github Skills (14)
algorithm10
machine-learning10
c-language10
cprogramming-language10
optimisation10
optimizers10
boost-test10
optimization10
testing10
deeplearning-ai9
deep-learning9
algorithms8
data-structures8
data-structure8
Programming languages (12)
Github contributions (5)
mlpack/mlpack
Feb 2018 - Apr 2018
mlpack: a fast, header-only C++ machine learning library
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:65 commits, 9 PRs, 112 comments in 2 months
Contributions summary:Prabhat's commits primarily involve adding and modifying tests for the Kmeans algorithm within the mlpack library. They implemented various tests, including those for non-negative cluster counts, percentage checks when using refined starting points, and checking size and dimensionality of outputs. The user also added tests for the labels only and empty cluster functionalities to ensure the correctness and robustness of the Kmeans implementation.
regressionheaderdeep-learningscientific-computingc-plus-plus
CaptainDredge/OpenSearch
Nov 2022 - May 2024
🔎 Open source distributed and RESTful search engine.
Contributions:141 pushes, 20 branches in 1 year 6 months
restfulsearch-enginemeilisearchelasticsearchsearch
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