Navin Chandra
@navinchandra1
Aspiring software engineer with a focus on open source contributions.
What I'm looking for
I am a passionate software engineer with a strong foundation in computer science, currently working as a Member of Technical Staff at LambdaTest. My journey in technology has been marked by significant contributions to open source projects, particularly in the Selenium community, where I serve as a committer and maintainer. I take pride in my ability to streamline processes, as evidenced by my work on KaneAI, where I reduced code complexity significantly.
Throughout my internships, I have honed my skills in various technologies, including Python, Golang, and Kubernetes. My experience spans across multiple projects, from enhancing testing frameworks to developing machine learning applications for the retail sector. I thrive in collaborative environments and have successfully mentored others in open source contributions, showcasing my commitment to community and knowledge sharing.
Experience
Work history, roles, and key accomplishments
Member of Technical Staff
LambdaTest India Pvt. Ltd.
Apr 2025 - Present (3 months)
As a Member of Technical Staff in the Open Source Program Office, I am a Selenium committer/maintainer and am building KaneAI. I reduced the number of lines of code generated from 1200 to 100 for KaneAI’s code export feature.
Software Engineer Intern
LambdaTest India Pvt. Ltd.
Jul 2024 - Present (1 year)
As a Software Engineer Intern, I contributed to open-source testing frameworks such as Selenium and WebdriverIO. My work involved enhancing and maintaining these critical tools.
Software Engineer Intern
CNCF LFX Mentee@KubeArmor
Jun 2024 - Present (1 year 1 month)
I wrote Ginkgo test suites for KubeArmor to improve code coverage and automated testing on new environments and architectures. I also improved documentation on testing procedures.
Software Engineer Intern
Google Summer of Code Mentee @openSUSE
May 2023 - Present (2 years 2 months)
I collaborated to create an edge ecosystem for the retail vertical using Machine Learning, developing various retail ML use cases for fashion stores, product detection, and store heat map generation.
Software Engineer Intern
Google Summer of Code Mentee @openSUSE
May 2022 - Present (3 years 2 months)
I containerized financial markets based ML applications for deployment on Kubernetes clusters and integrated sentiment analysis on stock news. My published solution stack on SUSE's technical documentation site increased documentation views.
Education
Degrees, certifications, and relevant coursework
Bharati Vidyapeeth’s College of Engineering
Bachelor of Technology, Computer Science
Grade: 8.67 CGPA
Completed a Bachelor of Technology in Computer Science, achieving a CGPA of 8.67. The curriculum provided a strong foundation in various computer science principles and practices.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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