Gautam Mishra
Software Dev Engineer II at Amazon
Bengaluru, Karnataka, India
Summary
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Senior🎓
Top SchoolGautam Mishra is a Software Dev Engineer II at Amazon in Bengaluru with eight years of experience building reliable, user-focused systems across front-end and test automation. A NIT Goa computer science graduate and Rust enthusiast, he has shipped production work in Seller Fulfilment and contributed to high-profile open-source projects like Julia and the caMicroscope digital pathology viewer. His strengths span improving UX and robustness—fixing UI edge cases, adding client-side validations, and hardening numerical tests and doctests for Julia—reflecting a pragmatic balance of product sensitivity and engineering rigor. Known as a curious explorer, he brings an uncommon mix of front-end polish and low-level numerical care that helps surface and fix subtle correctness and usability issues.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Technology - BTech Computer Science and Engineering, Bachelor of Technology - BTech Computer Science and Engineering at National Institute of Technology, GoaKendriya Vidyalaya Sangathan
Hindi, English
Stackoverflow
331reputation
9kreached
4answers
0questions
Github Skills (20)
programming-language10
javascript10
testing10
user-interface10
numerical-methods10
digital-pathology10
julia10
test-automation10
scientific-computing9
html9
documentation8
css8
nodejs6
fiddler6
docker6
Programming languages (18)
Github contributions (5)
JuliaLang/julia
Jun 2020 - Jul 2022
The Julia Programming Language
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:7 commits, 6 PRs, 28 comments in 2 years 1 month
Contributions summary:Gautam's commits primarily focused on enhancing the testing infrastructure of the Julia programming language. They addressed specific issues in numerical computations, specifically related to `rem2pi` and `lastindex` functions, by adding and modifying test cases to ensure accuracy and robustness. The contributions included adding doctests, effectively improving the documentation and illustrating usage examples, and fixing edge cases within the mathematical functions to improve reliability. These efforts reflect a commitment to improving the overall quality of the Julia language.
sciencejulia-languagemachine-learningjulialangpetsc
camicroscope/caMicroscope
Mar 2020 - Apr 2020
Digital pathology image viewer with support for human/machine generated annotations and markups.
Role in this project:Front-end Developer
Front-end DeveloperContributions:17 commits, 21 PRs, 37 comments in 21 days
Contributions summary:Gautam primarily focused on enhancing the user interface and improving user experience within the `camicroscope` digital pathology image viewer. Their contributions included fixing text overflow issues, preventing default keyboard shortcuts, validating slide names, and improving the redirect functionality. The user also implemented client-side file extension validation and refined the display and interaction of the spyglass component.
digital-pathologywsiwhole-slide-imagingannotationsimage-viewer
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