Talk topics
Three talks, each with a different mission profile.
The topics are arranged like launch paths so conference organizers can immediately see which audience each one serves.
TALK-01
Production AI Is Nothing Like Demo AI
AI agent conferences, engineering leadership summits, startup operator events
A field guide for agent reliability, observability, escalation, and executive trust.
TALK-02
The New Staff Engineer: Architect, Evaluator, Operator
Labs, engineering orgs, universities, founder communities
How senior technologists create leverage when AI writes more of the code.
TALK-03
From India Founder to Apple Staff Engineer
Universities, developer communities, early-career technologists
A practical reinvention story for young technologists building ambitious careers.
Why Invite Rahat
The strongest talks combine AI systems depth, executive relevance, and a human story that makes ambition feel reachable.
Conference organizers
Clear abstracts
Talks are framed as practical operating systems for agent reliability and senior technical judgment.
AI startups
Executive relevance
The material connects technical depth to trust, cost, product risk, and enterprise adoption.
Labs and teams
Systems credibility
The perspective spans agent traces, evals, guardrails, memory, and human escalation.
Students
Human inspiration
The career story becomes a useful path, not just a motivational anecdote.
Podcasts and Public Talks
A public archive of podcasts and earlier technical talks. More recent conference talks from the Apple chapter are intentionally not posted publicly.
Conference talks while working for Apple were internal and are not available to post publicly.
PODCAST
Podcast with SinghInUSA
A public podcast conversation about Rahat's journey, career, and technology perspective.
PODCAST
Podcast with Marco Polo
A public long-form conversation shared as part of Rahat's broader career and technology story.
CONFERENCE TALK / PUBLIC ARCHIVE
JSFoo Conference Talk
An earlier public conference talk from Rahat's JavaScript and web-platform chapter.
TECH TALK / PUBLIC ARCHIVE
AngularJS Talk
An earlier public technical talk from Rahat's AngularJS and frontend engineering chapter.
TECH TALK / PUBLIC ARCHIVE
Hybrid Mobile App Talk
An earlier public technical talk from Rahat's hybrid mobile and cross-platform engineering chapter.
Speaker Bio and Promise
Short and long bio variants can be copied into conference CFPs and event pages.
Rahat Khanna is a Staff Software Engineer focused on AI agent infrastructure, evaluation, observability, and enterprise-ready autonomy. His work bridges Apple-scale platform engineering, founder experience, and a long-term thesis across agents, humanoids, and space.
Audiences leave with practical patterns for moving from impressive AI demos to reliable systems: traces, evals, guardrails, supervision, cost visibility, and leadership judgment.
TAKEAWAY-01
A clearer mental model for production agents
Why the shift from demo AI to deployed autonomy depends on observability, evaluation, guardrails, and escalation.
TAKEAWAY-02
Practical language for executive decisions
How leaders can discuss agent quality, cost, risk, and adoption without getting lost in hype or implementation detail.
TAKEAWAY-03
A human story of technical reinvention
How founder roots, Apple-scale systems, and the AI shift can inspire builders to take larger swings.
Speaker Kit Copy
Public-safe bio variants for event pages, CFP submissions, podcast intros, and university programs.
Rahat Khanna is a Staff Software Engineer focused on AI agent infrastructure, evaluation, observability, and enterprise-ready autonomy. His work spans founder/CTO execution, Flipkart-scale commerce systems, Apple-scale web platforms, and production AI reliability patterns. He speaks about moving from demo AI to trustworthy autonomous systems.
Rahat Khanna is a Staff Software Engineer focused on making AI agents reliable, observable, and enterprise-ready. His career spans founder and CTO work, fintech infrastructure, enterprise transformation, Flipkart-scale commerce systems, and Apple-scale web platforms across ads and media products. His current thesis is that production AI needs a reliability stack: traces, evals, guardrails, supervision, cost visibility, and human escalation. Rahat speaks to builders, executives, and students about the shift from impressive AI demos to inspectable autonomous systems, and about how young technologists can build durable careers in the AI era.
Rahat Khanna is a Staff Software Engineer focused on AI agent infrastructure, evaluation, observability, guardrails, and enterprise-ready autonomy. His career began as a founder and CTO, building hundreds of websites and enterprise applications and helping architect fintech infrastructure that handled large-scale transaction volume. He later worked across enterprise transformation, Flipkart-scale commerce systems, and Apple-scale web platforms for ads and media products. Rahat's current work and public thesis center on the reliability layer for autonomous systems: traces, evals, memory, tool policy, supervision, cost and latency visibility, and human escalation. He is interested in the intersection of AI agents, humanoids, space, and human potential because each domain raises the same question: how do we trust autonomous systems when the stakes keep increasing? His talks connect technical depth, executive judgment, and an honest career story for ambitious young technologists.
Talk Abstracts
Each abstract is framed for organizers who need a clear title, audience fit, and practical audience takeaways.
Production AI Is Nothing Like Demo AI
AI agent conferences, applied AI summits, engineering leadership teams
A practical talk on the gap between impressive agent demos and production-grade autonomy. The core argument: agents become useful only when their behavior is observable, evaluable, governed, and easy to escalate to humans.
The New Staff Engineer: Architect, Evaluator, Operator
AI labs, engineering organizations, universities, founder communities
A leadership talk on how senior engineers create leverage when AI writes more code. The role shifts from only building features to designing systems of judgment: harnesses, evals, policies, workflows, and feedback loops.
From India Founder to Apple Staff Engineer
Universities, developer communities, early-career technologists
A human and technical story about reinvention: founder roots, high-scale systems, Apple-scale platform work, and the current AI infrastructure chapter. The talk is designed to make ambitious technical growth feel reachable and practical.
BOOKING PATH / DIRECT SIGNAL
Invite Rahat to speak.
Best fit: AI agent infrastructure, developer tools, engineering leadership, startup AI strategy, and student inspiration events.