Saad Irfan
Founding Engineer at Langbase
Berlin, Germany
Summary
🤩
Rockstar🎓
Top SchoolSaad Irfan is a founding engineer based in Berlin with 7 years of experience building scalable, high-performance, developer-friendly platforms and APIs. He architected Langbase’s open-source Web AI framework and a multi-tenant JWT-RBAC system with fine-grained RLS policies, turning complex LLM key management and org-level access control into a smooth developer experience. Previously at Kyte and RapidAPI he shipped cross-platform features, performance initiatives, and content-driven Jamstack apps that measurably increased bookings and engagement while cutting load times and network calls. Comfortable across the stack—Next.js, Supabase, Tailwind, MDX—and fluent in developer docs and platform UX, he blends infrastructure rigor with product-led thinking. An early DevRel and community leader, he pairs hands-on engineering with a track record of turning ideas into production-grade code and developer tooling.
7 years of coding experience
3 years of employment as a software developer
Machine Learning with Python: from Linear Models to Deep Learning Machine Learning, Machine Learning with Python: from Linear Models to Deep Learning Machine Learning at Massachusetts Institute of TechnologyBachelor's degree Computer Science, Bachelor's degree Computer Science at University of Engineering and Technology, Lahore
English, Urdu, German
Stackoverflow
11reputation
145reached
0answers
1question
Github Skills (200)
visual-studio10
web-development10
openapi10
vscode-plugin10
browser10
swagger-ui10
api10
sqltools10
github-api10
html10
node-cli10
static-site-generator10
ssg10
nodejs10
sql-database10
Programming languages (16)
Github contributions (5)
msaaddev/DevRel-Examples-External
Oct 2021 - Apr 2023
RapidAPI Examples by external developers — curated as is.
Contributions:74 pushes, 73 branches in 1 year 6 months
apiredocrapidapifastapimodular
LangbaseInc/BaseAI
Sep 2024 - Feb 2025
BaseAI — The Web AI Framework. The easiest way to build serverless autonomous AI agents with memory. Start building local-first, agentic pipes, tools, and memory. Deploy serverless with one command.
Contributions:29 reviews, 79 PRs, 192 pushes in 4 months
aianthropicartificial-intelligencebaseaicohere
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