Shipped product scale

Public products and platforms that prove product judgment at scale.

These are selected public contexts from the pre-AI chapter: media, creator tooling, editorial launches, and commerce operations. The implementation details stay private; the product surfaces show the arena.

Selected public contextPublic links show product context; proprietary architecture and employer-specific details stay private.

Portfolio signal map

Four operating domains, one reliability thesis.

Each domain shows a different proof point: building autonomous systems, shipping at scale, thinking about embodied risk, and studying mission-grade reliability.

SIG-01

AI systems

Agent reliability

Observability, evaluation, guardrails, traces, and human escalation for production autonomy.

SIG-02

Platform scale

Media and commerce

High-traffic product surfaces, operational systems, and cross-functional web platforms.

SIG-03

Embodied future

Humanoid ops

The same reliability stack becomes more urgent when autonomy touches the physical world.

SIG-04

Mission horizon

Space systems

Delayed feedback and mission assurance sharpen the philosophy behind trustworthy agents.

AI agents must be observable before they can be trusted.
Evaluation is the executive dashboard for autonomous work.
Humanoids and space will need the same reliability stack as enterprise agents.
Young technologists need proof that reinvention is possible.

Dated Profile Highlights

The proof points make more sense as a career timeline: founder execution, fintech scale, enterprise and commerce systems, Apple-scale platforms, and the current AI infrastructure chapter.

FOUNDER ROOTS / YEH TECHNOLOGIES

2008 - 2012

Built 300+ websites and enterprise apps for global clients.

entrepreneurship

The early chapter was hands-on founder work: selling, designing, shipping, and learning how real customers judge software.

FINTECH SCALE / INSTANTPAY

2011 - 2012

Architected infrastructure processing 100M+ annual transactions.

CTO experience

Led the technology foundation for a multi-service fintech platform where reliability, throughput, and operator trust mattered every day.

ENTERPRISE + COMMERCE / GENPACT, FLIPKART

2012 - 2017

Built mobile, healthcare, and ecommerce systems used by thousands.

platform builder

Moved from enterprise transformation into Flipkart-scale commerce, including operator workflows and customer-facing post-order experiences.

APPLE SCALE / ADS AND MEDIA PRODUCTS

2017 - 2023

Led web systems across Apple Ads, Music, TV, Podcasts, Books, and editorial launches.

Staff engineer trajectory

This chapter proves product judgment at global scale: high-visibility consumer experiences, business tools, and cross-functional platform delivery.

AI INFRASTRUCTURE / NOW

2023 - now

Focused on agent observability, evaluation, guardrails, and enterprise-ready autonomy.

post-AI world

The current chapter connects everything before it: systems thinking, product taste, scale, and the reliability stack for AI agents.

MENTORSHIP / HUMAN IMPACT

2023 - now

Mentored 40+ engineers and professionals through the AI shift.

impact

The public mission is not only technical credibility. It is helping younger technologists see a bigger path for themselves.

NEXT ACTION / CASE STUDY

Open the agent observability cockpit.

The flagship case study turns the portfolio into a concrete executive signal: how Rahat thinks about traces, evals, guardrails, escalation, and trustworthy agent operations.

LLM-as-JudgeTracingReliabilityGovernance
Open case study