Good Evening!

Taylor Cressy

Senior Staff AI Engineer, Los Angeles, CA

Get To Know Me

I'm Taylor Cressy, a Senior Staff AI Engineer.

I build AI and ML systems that operate at petabyte scale for millions of users, in real time. From architecting agentic AI platforms and real-time inference pipelines to the distributed data systems that power them, I work across the full stack. 12+ years in, and I still love the challenge of taking something genuinely hard and shipping it at scale. Chances are if you've got a problem, I've got a solution.

I built this site as a creative outlet, a way to own a full end-to-end suite of services and infrastructure. Everything you see (and don't see) is bespoke. Its primary purpose is to keep me entertained: a place to learn new things and work on whatever I find interesting. If you see something you like, be sure to reach out 😁

What I Do

Data Engineering

Data Engineering

From real-time ingestion pipelines to batch systems processing petabytes of data, I build infrastructure that scales to any business need. Kafka, Spark, and cloud-native tooling are my go-tos, and I care deeply about getting the plumbing right before the models go live.

Service Oriented Architecture

Service Oriented Architecture

Can't work in the backend without knowing how to build a proper RESTful API. I've designed and built microservices at scale across a variety of frameworks, Spring being a personal favorite. Clean contracts, reliable services, and systems that don't fall over under load.

AI & Machine Learning

AI & Machine Learning

I architect AI and ML platforms end-to-end, from feature stores and training infrastructure to real-time inference at sub-100ms latency. I've shipped agentic AI systems, built online learning pipelines that adapt in real time, and led MLOps ecosystems serving 50+ production models. LLMs, neural nets, and everything in between.

System Design

System Design

One of the most rewarding parts of this job is watching an architecture go from whiteboard to production. I've designed complex, high-scale systems across payments, fraud/risk, agentic AI, and real-time ML, and I genuinely love that part of the work.

Front End Development

Front End Development

While I spend most of my professional time in the backend, I love working across the full stack. My first jobs were actually in the front end and I still keep up with the cutting edge, this site included. React is my go-to, and I'm a firm believer that good UX matters even for backend-heavy products.

Dev Ops

Dev Ops

Probably the skill set that my peers know least about. Almost a guilty pleasure. If you aren't automating it, are you really doing it correctly?

Resume

Senior Staff AI Engineer with 12+ years delivering multi-million dollar impact. Petabyte-scale Agentic AI and real-time ML platforms for millions of users.

Experience

Aug 2025 – Present

Senior Staff AI Engineer

Intuit
Los Angeles, CA

Architecting the memory platform powering Intuit's AI agents across QuickBooks and TurboTax. Petabyte-scale, 100+ QPS, sub-200ms. Serving 100% of 7M+ QuickBooks customers and setting the technical standard for AI agent integration across Intuit.

Feb 2021 – Jul 2025

Staff ML Engineer

Intuit
Los Angeles, CA

Led Intuit's Accounting Agent, the company's flagship AI product for automated bookkeeping. Hybrid ML classifying 500M daily transactions for 7M customers. Built Intuit's first real-time online learning system. Led the ML risk platform protecting Payments, Payroll, and Lending with $200M+ in savings.

Feb 2018 – Jan 2021

Senior Software Engineer

Intuit
Los Angeles, CA

Architected QuickBooks' crypto trading platform from the ground up: end-to-end funding, trading, audit, and compliance.

Feb 2016 – Jan 2018

Software Engineer II

Intuit
Los Angeles, CA

Modernized the core payments platform from batch to real-time, cutting customer funding times from days to hours.

Feb 2015 – Jan 2016

Quality Engineer I

Intuit
Los Angeles, CA

Built quality automation that powered the payments platform's global expansion to Australia, the UK, and Canada.

Feb 2013 – Dec 2014

Lead Developer

Staxoweb
London, UK

Led a team of 3 delivering full-stack web platforms and native iOS apps for startup clients in London.

Education

Jan 2015

MSc Software Engineering

Kingston University London
London, UK

MSc in Software Engineering. Lived in London and graduated top of my class. My dissertation focused on commerce and trade in enterprise software, with an implementation I built called TradeRoom.

Apr 2013

BS Computer Science, minor Mathematics

California State University Channel Islands
Ventura, California

BS in Computer Science and minor in Mathematics from CSUCI in Ventura, California. Graduated with a 4.0. Final-year project: a 3D "Rat Maze" in OpenGL ES simulating a rat learning to find cheese, inspired by Neurosolver.

Skills

Core Technologies

JavaScalaKotlinPythonAWSGCPKubernetesDockerSparkKafkaMicroservices

AI & Machine Learning

Generative AILLMsVector DBsRAGPyTorchTensorFlowMLOpsReal-time InferenceOnline LearningFraud Detection

Frontend

ReactElectronTypeScriptNext.jsiOSPHPHTMLCSS
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