Ashmeet Lamba is a Software Engineer 2 with eight years of backend and data engineering experience across Indian startups, currently building at Zepto after roles at FamPay, Verloop.io and Locale.ai. He is proficient in Python (with Java/C/C++ familiarity) and has contributed to notable open-source work on Kolibri, improving authentication, serializers, unit tests and new API endpoints for an offline education platform. Comfortable moving between data and backend responsibilities, he has driven reliable API and task-restart features in production systems. A Pune-based Computer Science undergraduate from Symbiosis Institute of Technology, he is actively exploring NLP and finance use cases and brings a pragmatic, test-driven approach to complex integrations.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Symbiosis Institute of Technology
Kolibri Learning Platform: the offline app for universal education
Role in this project:
Back-end Developer
Contributions:8 reviews, 10 commits, 2 PRs in 12 days
Contributions summary:Ashmeet primarily focused on improving the Kolibri Learning Platform's backend functionality. Their contributions included adding validation and ensuring compatibility for device settings, specifically around user authentication and password management. They also implemented serializers and added unit tests for the API endpoint, related to task and data validation. Furthermore, the user worked on implementing a restart task API endpoint.
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