

Ramanpreet Singh Khinda
Staff SWE @LinkedIn ๐ ex-Google,Snap โฆ IEEE Senior ๐ฃ๏ธ Keynote Speaker @Droidcon|AIoT โฆ Speaker @DevFest|Ai4 โฆ Host @GHC โฆ Mobile Architect | I/O Codelab Author ๐งโโ๏ธ Judge @MLH โฆ Mentor @Duke

๐๐๐ฆ๐๐ง๐ฉ๐ซ๐๐๐ญ ๐๐ข๐ง๐ ๐ก ๐๐ก๐ข๐ง๐๐ is a Staff Software Engineer and Tech Lead at LinkedIn, where he architects privacy-first mobile infrastructure serving over 1 billion members globally. His 12+ year career has defined the mobile stack for the world's largest technology platformsโhis original contributions to the Android ecosystem have been productionized by Google, cited as industry best practices, and deployed to billions of devices.
๐๐๐๐ ๐๐๐๐จ๐ ๐ง๐ข๐ญ๐ข๐จ๐ง: Raman is an IEEE Senior Member and appointed member of the IEEE Vehicular Technology Society's Technical Committee on Integrated Sensing & Mobile Intelligence, where he helps define industry standards for Next-Gen Mobile AI and 6G Edge Computing.
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๐๐๐๐๐๐๐๐๐๐๐๐๐ ๐๐๐๐๐๐๐๐ & ๐๐๐๐๐๐๐๐
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Raman is an internationally sought-after voice on mobile infrastructure, privacy engineering, and on-device AI:
โค ๐๐ข๐ ๐๐๐๐ (Las Vegas) โ Invited speaker at America's largest AI conference (12,000+ attendees, 90+ countries); speaker roster include Geoffrey Hinton, Fei-Fei Li, and Andrew Ng
โค ๐๐ซ๐จ๐ข๐๐๐จ๐ง ๐๐๐ฎ ๐๐ก๐๐๐ข โ Selected as Keynote Speaker alongside the Director of AI Office (UAE Ministry of Health) and Staff Engineer from X. One of the few non-Google Developer Expert speakers chosen for keynoteโselected purely on industry track record
โค ๐๐๐ฏ๐
๐๐ฌ๐ญ ๐๐๐จ๐ญ๐ฅ๐๐ง๐ โ Google Developer Groups flagship conference around the globe; 1 of 12 distinguished speakers alongside SVP of AI/ML at JPMorgan Chase
โค ๐๐ซ๐๐๐ ๐๐จ๐ฉ๐ฉ๐๐ซ ๐๐๐ฅ๐๐๐ซ๐๐ญ๐ข๐จ๐ง ๐๐๐๐ โ World's largest gathering of women technologists (25,000+ attendees). Expert Braindate Host with sessions fully booked and 100+ attendees on waitlist. Attendees included engineers from Google, Amazon, Microsoft, Meta, Apple, NVIDIA, and students from MIT, Stanford, Carnegie Mellon, and UC Berkeley
โค ๐๐๐จ๐ ๐๐จ๐ซ๐ฅ๐ ๐๐ฑ๐ฉ๐จ โ Invited Keynote speaker at a major annual event focusing on the convergence of Artificial Intelligence (AI) and the Internet of Things (IoT)
โค ๐๐๐ซ๐จ๐๐๐๐ก ๐๐๐๐ โ Selected among few LinkedIn employees to represent at the conference
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๐๐๐๐๐๐๐๐๐ ๐๐๐๐๐๐๐ & ๐๐๐๐๐๐๐๐ ๐๐๐๐๐๐๐๐๐๐
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Recognized expert judge and technical advisor across elite competitions worldwide:
โฐ ๐๐๐ฃ๐จ๐ซ ๐๐๐๐ ๐ฎ๐ ๐๐๐๐ค๐ข๐ง๐ : Technical Judge at Cornell (BigRed//Hacks), Johns Hopkins (HopHacks), University of Washington (DubHacks), UC Berkeley (Cal Hacks; mentor only), Carnegie Mellon (NexHacks)
โฐ ๐๐ง๐๐ฎ๐ฌ๐ญ๐ซ๐ฒ ๐๐๐๐ค๐๐ญ๐ก๐จ๐ง๐ฌ: Judge for Monday.com ร Lovable ร Railway Full-Stack Founder Hackathon (served alongside Member of Technical Staff at Anthropic and AI Director at Verizon); AceMakers GTM Hackathon (Munich); Venture Miner (Vibe Demo Day)
โฐ ๐๐ญ๐๐ซ๐ญ๐ฎ๐ฉ ๐๐ซ๐ข๐ง๐ ๐๐๐: Strategic Technical Advisor evaluating ventures on mobile architecture, on-device AI, and enterprise scalability
โฐ ๐๐๐๐ค-๐๐๐ญ๐ข๐จ๐ง ๐๐ฅ๐จ๐๐๐ฅ ๐๐ ๐๐๐๐ค๐๐ญ๐ก๐จ๐ง: Technical Mentor for Harvard/MIT participants competing for $10,000 grant
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๐๐๐๐๐๐๐๐๐๐ & ๐๐๐๐๐๐๐๐๐ ๐๐๐๐๐๐
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Long-term mentor in LinkedIn's Possibilities in Tech program supporting underrepresented students at Duke and Rutgers. Former career coach for Google's multi-billion dollar Grow with Google initiative, recognized as "Volunteer of the Week." Principal Technical Lead for $100,000 AHRQ-funded research on mobile health technology, with work published in ACM Digital Library.
A believer in mindful leadership, Raman integrates Sikh-inspired principles of humility, stillness, and selfless service (seva) into his approach to engineering and mentorshipโfostering cultures that value both excellence and empathy.
The Most Important Code in Your App Isn't Yours
You have 50 apps on your phone. Inside them run hundreds of invisible infrastructures (SDKs/Libraries) that processes payments, powers AI features, and handles your private data. Built by engineers you'll never meet, running on devices they'll never see.
I've spent 15 years building this invisible infrastructure at Google, Snap, and LinkedIn. In this talk, I'll reveal why the trust model many apps rely on is fragile.
Through a tale of two parallel-universe architectures, you'll see how one design decision made a feature bulletproof โ and how a different decision turned it into an attack surface.
You'll leave with three principles for building code that survives inside someone else's system โ applicable to SDKs, APIs, or any shared infrastructure.
No Android experience required. If you write code others depend on โ this is for you.
