Leelavathi Vadlamudi is a seasoned software engineer and consultant with 17 years of experience designing and shipping scalable web applications, data pipelines, and real-time systems. She has led engineering efforts at companies like Frappe—where she refactored core modules, added security and rate-limiting features to a popular open-source low-code framework powering ERPNext—and built multi-tenant Redis namespaces and Twilio integrations. Her strengths span architecture for scale (load balancing, caching, databases), backend web frameworks (Django, Flask, FastAPI), and performance-driven refactoring across legacy platforms. She combines hands-on coding and leadership—having founded engineering efforts for a crypto trading prototype and served as chief trainer for advanced Python—so she often pairs deep technical fixes with team enablement. Based in Chennai, she also scored in the 97th percentile on GATE CS, reflecting a strong algorithmic and systems foundation.
17 years of coding experience
9 years of employment as a software developer
Bachelor's Degree, Computer Science and Engineering, Bachelor's Degree, Computer Science and Engineering at Narasaraopeta Engineering College, JNTU Hyderabad
Low code web framework for real world applications, in Python and Javascript
Role in this project:
Back-end Developer
Contributions:1 release, 87 reviews, 197 commits in 10 months
Contributions summary:Leelavathi primarily focused on refactoring and improving the Frappe framework's core functionalities. This involved removing legacy telephony code, implementing a login attempt tracker to enhance security, and cleaning up authentication logic to use the tracker. They also addressed a database-related issue and introduced lazy import functionality to improve performance. Further contributions included adding a rate limiter decorator for API endpoints and integrating it into the reset password feature, along with several refactoring steps.
Contributions:13 reviews, 36 commits, 33 PRs in 7 months
twiliotwilio-apisms-messageserpnext
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