Diptanshu Mittal
Software Engineer III at Google
Bengaluru, Karnataka, India
Summary
🤩
Rockstar🎓
Top SchoolDiptanshu Mittal is a Software Engineer III at Google with seven years of experience building reliable, large-scale systems, currently contributing to the evolution of Google Search after work on the Google Home app. He brings a strong backend focus demonstrated by contributions to the widely-used google-cloud-ruby client—improving storage retry logic, Autoclass support, and datastore request handling to boost stability and performance. Trained in Mathematics and Computer Science at IIIT Delhi and with hands-on internships including Expedia and Google Summer of Code, he blends research interests in federated systems with practical engineering. He has also taught computer vision at the university level, signaling an ability to communicate complex technical concepts to varied audiences.
7 years of coding experience
2 years of employment as a software developer
Bachelor of Technology - BTech, Mechanical Engineering, Bachelor of Technology - BTech, Mechanical Engineering at Delhi Technological University (Formerly DCE)Bachelor of Technology - BTech, Mathematics and Computer Science, Bachelor of Technology - BTech, Mathematics and Computer Science at Indraprastha Institute of Information Technology, DelhiAir Force Golden Jubliee Institute
Github Skills (6)
google-cloud-storage10
google-cloud-datastore10
ruby10
testing9
apidoc9
api9
Programming languages (7)
Github contributions (5)
googleapis/google-cloud-ruby
Sep 2022 - Jan 2023
Google Cloud Client Library for Ruby
Role in this project:
Back-end Developer
Back-end DeveloperContributions:210 reviews, 41 commits, 167 PRs in 4 months
Contributions summary:Diptanshu primarily contributed to the Google Cloud Ruby client library, focusing on enhancing the storage and datastore functionalities. Their work included implementing retry configurations for storage operations and adding support for features like Autoclass for buckets in storage. Furthermore, the user addressed request limits in the datastore, ensuring the library's robustness. The contributions suggest a focus on improving the client library's stability, performance, and feature set, particularly in relation to the Google Cloud Storage and Datastore services.
googleclient-librarygoogle-cloud-platformrubygoogle-cloud
diptanshumittal/Screening_Task-1
Feb 2020 - Mar 2021
Contributions:29 commits, 1 push in 1 year
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