01 / PRODUCT
Customer-Facing Product Experiences
Working on Amazon Rufus experiences across search, detail, homepage, and cart surfaces, including inline and conversational experiences that connect user intent to helpful actions.
Engineering Leadership · Product Systems · Practical AI
Building product systems, scalable platforms, and the technical foundations behind them.
Across 20+ years, I have built systems across commerce, search, language products, public-sector platforms, education, and modern product experiences. I operate best in ambiguous spaces, turning emerging capabilities and complex constraints into reliable product behavior that creates real customer value.
Selected Impact
02 / SCALE
Product Systems at Scale
Built for high-scale production environments where reliability, latency, and customer trust matter deeply. Recent work includes customer-facing experiences on major commerce surfaces operating under real performance constraints.
03 / SYSTEMS
Agents, Tools & Multimodal Systems
Designed and shipped agentic and tool-driven experiences, including comparison flows and multimodal capabilities, with a focus on moving model capability into useful product behavior rather than isolated demos.
Engineering Leverage
01 / INNOVATION
From Experimentation to Direction
I use hackathons, prototypes, and early product exploration to make ambiguous opportunities concrete, test technical assumptions quickly, and help promising ideas move toward durable product and architecture decisions.
02 / LEADERSHIP
Cross-Functional Technical Direction
I help product, design, engineering, and science teams align around technical constraints, validation paths, and AI-native ways of working, especially when new capabilities change how teams should build together.
03 / BAR RAISING
Raising the Technical Bar
I raise engineering quality through mentoring, hiring, design review, operational excellence, and practical judgment, helping other builders make stronger decisions and turn ambiguous problems into durable execution.
Perspective
01 / THESIS
AI as a System Verifier
The real leverage of AI is not only faster output. It is closing the loop. Agents that observe, test, fail, fix, and verify their own work reduce human review load instead of simply shifting it upstream.
02 / SYSTEMS
Reducing the Alignment Tax
As code generation becomes cheaper, the bigger bottleneck becomes alignment across systems, teams, and constraints. Making those constraints machine-readable is an important architectural step.
03 / COLLABORATION
Breaking Translation Layers
One of the biggest organizational effects of AI is reducing the translation tax between product, design, and engineering. Teams that build together in real time can move with much more clarity and speed.
How I Work
Approach &
Principles
Principles
I care about raising the bar technically, organizationally, and in how strong engineering judgment is developed. That means setting direction in ambiguous spaces, creating reusable patterns for others, building robust systems, recognizing patterns across domains, helping teams adopt better ways of working, and using AI not as a shortcut for output alone, but as a way to improve verification, collaboration, and execution quality.
Build for real users
Make AI practical
Develop engineering judgment
Reduce translation tax
Raise the technical bar
Turn ambiguity into systems
Connect patterns across domains
Enable other builders
Create reusable patterns
Selected Background
Work
History
History
2015 - Now
Amazon
Senior Software Development Engineer
Building high-impact software systems and customer experiences at scale, with recent focus on product experiences powered by foundation models, agentic workflows, multimodal interfaces, and technical leadership across customer-facing commerce surfaces. Earlier Amazon work included Alexa Shopping, international launches, authentication, peak readiness, operational excellence, and commerce platform initiatives.
Prior
Tureng
Builder & Product Creator
Built and evolved the modern Tureng product experience, including search, autocomplete, voice dictionary, full-text search, and suggestion features. The product grew from 25K to 500K daily users and from 200K to 2.5M page views, becoming the most visited Turkish-English dictionary online.
Foundation
Earlier Roles
Engineering, Product, Search, Public Platforms & Teaching
Led and built systems across public-sector platforms, utilities, cultural archives, agriculture, customs, search, security, education, and teaching. This breadth created a broad base for recognizing patterns across domains and turning ambiguous requirements into working systems.
// Contact
Technical depth, product instinct, and a builder mindset.
I enjoy thoughtful conversations around product systems, engineering leadership, practical AI, and how strong technical judgment turns ambiguous opportunities into reliable systems and better ways of working.