Sagar Sehgal
Software Engineer 2 at Opendoor
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolSagar Sehgal is a results-driven Software Engineer with 4.5+ years of hands-on engineering experience and a broader 9-year track record across startups and large tech firms. Currently at Opendoor after impactful stints at Amazon and ByteLearn, he specializes in building and scaling microservices, improving operational reliability, and reducing latency through pragmatic engineering and instrumentation. He has driven high-stakes migrations (a DC migration handling 3.5M units with 99.97% success) and introduced cross-team practices like DB versioning, distributed logging and OpenTelemetry to accelerate development and debugging. An active open-source contributor and GSoC alumnus/mentor, he has improved code quality and test coverage for the widely used aima-python repository and built configurable corpus query tooling during his GSoC project. Comfortable across system design, implementation, and mentoring, he also brings product-facing experience from founding-team work and has interviewed and mentored dozens of engineers. Based in Bengaluru, he blends academic rigor (IIIT SriCity research on multilingual NER) with pragmatic delivery in production systems.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Technology - BTech Computer Science, Bachelor of Technology - BTech Computer Science at Indian Institute of Information Technology, SriCityHigher Secondary Education Science, Higher Secondary Education Science at Delhi Public School,FaridabadSecondary Education, Secondary Education at Modern Vidya Niketan, Aravali Hills
Hindi, English
Github Skills (4)
software-quality10
python10
testing10
documentation9
Programming languages (7)
Github contributions (5)
aimacode/aima-python
Dec 2018 - May 2019
Role in this project:
Software Engineer (focused on code quality and documentation)
Software Engineer (focused on code quality and documentation)Contributions:12 commits, 17 PRs, 27 comments in 4 months
Contributions summary:Sagar primarily contributed to improving code quality and addressing minor issues within the repository. They corrected typos in multiple files, including `nlp.ipynb`, `agents.ipynb`, and `utils.py`, suggesting a focus on code readability. The user also added test cases and updated functions according to PEP style, demonstrating a commitment to maintainability and adherence to coding standards. The changes show a focus on improving the overall quality and correctness of the existing code.
pythonpython-implementationapproachartificialmachine-learning
thesagarsehgal/Video-Trailer
Nov 2019 - Dec 2019
A Video Summarizer
Contributions:13 commits, 9 pushes in 15 days
nlpsummarizervideo
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