AR
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Open to selective collaborations

Building calm softwareat the edge of intelligence.

I design and ship —with observability, taste, and product judgment baked in from day zero.

About

Hi, I’m Egehan.

I work at the intersection of applied AI, full-stack engineering, and product design—shipping software that teams actually want to live in.

Most recently I've been building agentic workflows, evaluation infrastructure, and customer-facing surfaces where model behavior is observable and tunable. I care deeply about the boring parts: logging, rollback, permissions, and clear operator UX when things go sideways.

Outside of execution work, I write about shipping with uncertainty, design for dense information, and how to keep ML systems honest in production.

North America
Remote-first
Select travel

Systems thinking

I map failure modes early: latency, cost, hallucination, and human workflow—then design architecture that degrades gracefully.

Product instinct

Great AI feels boring in the best way: predictable when it must be, surprising only when invited. I obsess over that balance.

Craft in the details

Typography, motion, and micro-interactions are not decoration—they are trust signals. I ship interfaces that respect attention.

Work

Featured projects

Selected builds where models, infra, and interface design had to move together—no loose seams.

Neural Ops Copilot

Agentic SRE assistant with guarded tool use.

A retrieval-grounded operations copilot that proposes remediations, drafts runbooks, and executes approved playbooks behind policy gates.

Next.jsPythonOpenAIPostgresTemporal

Latent Design Studio

Generative UI for rapid product iteration.

A canvas-first environment where teams sketch flows, attach constraints, and ship interactive previews synced to a design system.

ReactWebGPURustTailwindFramer Motion
2024

SignalForge Eval

Evaluation harness for multimodal models.

Benchmarking suite for vision-language tasks with regression detection, golden sets, and diffable reports for stakeholders.

TypeScriptPyTorchRayS3Datadog

Trajectory

Experience

A condensed timeline of roles where I owned ambiguous problems end-to-end—from prototype to production metrics.

2023 — Present

Staff AI Engineer

Northwind Labs

Leading agent platforms, safety reviews, and inference cost programs across product and infra.

AgentsEvalsKubernetesGo

2020 — 2023

Senior Software Engineer

Lumen Foundry

Built data-intensive services, ML feature stores, and customer-facing analytics with strict SLOs.

PythonSparkReactGCP

2017 — 2020

Product Engineer

Arc Studio

Shipped design systems and growth experiments for a collaborative creative suite used by global teams.

TypeScriptGraphQLDesign Systems

Toolkit

Tech stack

A pragmatic mix of languages, ML tooling, and infra primitives—chosen for leverage, not novelty.

Languages

TypeScriptPythonGoRust

AI / ML

PyTorchOpenAIAnthropicLangGraphEvalsRAG

Web

Next.jsReactTailwindFramer MotionWebGL

Infra

KubernetesTerraformPostgresRedisKafka

Writing

Notes from the field

Long-form thinking on shipping AI products, interface design under pressure, and evaluation as a first-class surface.

6 min read

Shipping with model uncertainty

How to structure releases when outputs are non-deterministic and stakeholders still need guarantees.

Continue reading
4 min read

Designing for attention budgets

Minimal interfaces for dense information—patterns that keep operators in flow during incidents.

Continue reading

Contact

Let’s build something sharp.

Tell me about the problem space, constraints, and what success looks like. I typically reply within two business days.

Uses your default mail client—no backend required.

Prefer a direct line? Reach me at hello@example.com.