AI systems architecture and strategy · Philadelphia + New York
I build production AI systems.
I am Daniel Nakhla, an AI systems architect and strategist with nearly twenty years of software engineering leadership. I connect LLMs and vision models to structured data, deterministic tools, approval controls, and reliable operational workflows.
Since 2022, I have architected AI agents, retrieval systems, and evaluation frameworks for Fortune 500 teams across finance, pharma, media, and logistics. I help organizations move AI past initial prototypes into daily production use.
Core capabilities
Architecture, strategy, and executionProduction AI Infrastructure
Agent orchestration, state management, multi-index retrieval and reranking, and deterministic tool registries engineered for production reliability.
Governance, Risk & Observability
Enterprise AI roadmaps, evaluation loops, LLM observability, cost modeling, and human-in-the-loop approval workflows.
Production Engineering & Delivery
Nearly twenty years of software engineering judgment grounding high-level AI decisions in working code, APIs, and live systems.
Engineering track record
Proven scale and enterprise executionHigh-concurrency platforms
Engineered web infrastructure for Sony and Jerry Seinfeld's Comedians in Cars Getting Coffee, maintaining uptime through massive traffic spikes. Delivered consumer software across Nintendo, Yelp, and a Super Bowl campaign.
Global product delivery
Led international engineering teams for a global publisher, shipping 27 products across 11 countries in under a year. Designed automated migration pipelines that reduced content migration timelines from weeks down to hours.
Production AI systems since 2022
Deployed live machine-learning systems by 2020. Since 2022, built custom AI agents, retrieval pipelines, and evaluation gates for Fortune 500 teams across finance, pharma, media, and logistics.
Shipping products since 2009
Building independent software products since 2009. Created ClosetBank, featured in The New York Times, and currently build live production systems like BlockReport, Penny, and ScooScoo.
Current systems
Running now
Active
Penny
An AI agent wired into Telegram, calendar, mail, phone, markets, and publishing. Every integration is one command, and anything that writes outside the house waits for approval.
single agentn8nautomation Open the system →
Active
LetMeCheckThatBot
An AI that lives in the group chat. It reads every message, voice note, screenshot, and link that lands, and answers in the thread when someone says robot.
Telegramsearchmemory Open the system →
Active
BlockReport
Philadelphia's open property data resolved into one layer, mined for insight, and served three ways: crawlable reports, a browser map, and a research agent that cites its records.
DuckDB-Wasmtool-calling AIpublic data Open the system → KT Active KTraderTrading algorithms proven on a paper account, run live where they hold up. Blind research, code-owned sizing, immutable records.
prediction marketspaper tradingrisk controls Open the system →
Active
ScooScoo.homes
An address list goes in, house portraits on mugs and cards come out. Each address is a paid job that parks when the imagery is uncertain.
generative mediareference selectioncommerce Open the system →