Ram Yalamanchili is a serial tech founder and software executive focused on accelerating healthcare through AI-powered platforms. As Founder and CEO of Tilda Research since 2019, he leads a team building AI-integrated clinical trial software aimed at dramatically improving efficiency and patient outcomes. He previously co-founded Lexent Bio (acquired by Roche) where he served as CTO, and has held leadership roles at MobileIron, Push Computing, and VMware, guiding products from concept to scale. Ram blends deep engineering with strategic product vision across biotech, cloud software, and healthcare, backed by 18 years of experience and degrees from Carnegie Mellon (Electrical and Computer Engineering) and Stanford (Management Science and Engineering). He is an active open-source contributor, notably advancing n8n with backend and OAuth2 workflow enhancements that strengthen security and interoperability. Based in San Francisco, he is building teams to redefine trial workflows and bring AI-driven treatment innovation to patients.
19 years of coding experience
16 years of employment as a software developer
Electrical and Computer Engineering, Electrical and Computer Engineering at Carnegie Mellon University
Management Science and Engineering, Management Science and Engineering at Stanford University
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
Role in this project:
Full-stack Developer
Contributions:7 commits, 1 PR, 2 comments in 6 days
Contributions summary:Ram made significant contributions to the n8n platform, focusing on both the backend and frontend. They implemented external module imports and whitelist support in the Function node, enhancing the platform's capabilities. The user added UI logic to support OAuth2 authentication flows, including the necessary endpoints and UI components, and also added an OAuth2 testing node. Furthermore, they implemented backend logic for handling OAuth2 authorization and callback, improving the security of the credential management.
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