Hargovind Singh Arora
Software Dev Engineer II at CREW
India
Summary
👤
Senior🎓
Top SchoolHargovind Singh Arora is a software engineer with nine years of experience, currently a Software Dev Engineer II at CREW and Swiggy after progressive roles at Hiver where he moved from Machine Learning Engineer to SDE II. He holds an MTech in Computer Science from IIIT Bangalore and brings strong fundamentals in algorithms and data structures with production experience in C++, Python, Django, Flask and Java/Spring Boot. Hargovind has a solid backend focus—contributing to notable open-source projects like EvalAI where he improved Django models, URL handling, and challenge workflows—while also building DevOps skills through coursework and projects. He routinely sharpens problem-solving via competitive programming and applies that rigor to shipping reliable backend features and bug fixes. Comfortable across web and ML stacks, he combines hands-on implementation with pragmatic system improvements that reduce friction for teams. Colleagues describe him as a dependable engineer who bridges core algorithmic thinking with practical backend engineering.
9 years of coding experience
4 years of employment as a software developer
Master of Technology - MTech, Computer Science, Master of Technology - MTech, Computer Science at International Institute of Information Technology BangaloreBachelor of Technology - BTech, Bachelor of Technology - BTech at JSS ACADEMY OF TECHNICAL EDUCATION, NOIDA
Punjabi, Hindi, English
Github Skills (10)
api-rest10
rest-api10
python10
api-design10
restful-api10
django10
reproducible-research7
machine-learning6
dockers5
docker5
Programming languages (9)
Github contributions (5)
Cloud-CV/EvalAI
Aug 2017 - Jul 2018
:cloud: :rocket: :bar_chart: :chart_with_upwards_trend: Evaluating state of the art in AI
Role in this project:
Back-end Developer
Back-end DeveloperContributions:14 commits, 18 PRs, 97 comments in 11 months
Contributions summary:Hargovind primarily focused on back-end development, as evidenced by modifications to URLs, models, and admin panels within the Django framework. They addressed bug fixes related to URLs and removed affiliation models. Furthermore, the user made updates to challenge and team-related functionalities by implementing explicit error messages, and included improvements to job and challenge-related operations. The user is also responsible for integrating a random name generation logic for the challenge logo field.
pythondjangostate-of-the-artangular7tensorflow
HargovindArora/AdHoc-Query-Builder
Mar 2021 - Oct 2021
Contributions:21 commits, 18 pushes, 1 branch in 7 months
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