Fouzi Husaini

Chief Technology and AI Officer

2024 - Current

Leading Marqeta's Infrastructure, Cybersecurity, Cloud Platform, Data, and AI teams.

Chief AI Officer

2024 - 2024

Marqeta is the world’s first modern card issuing platform with a TPV (total processing volume) of over $300B. My organization is building on this success by innovating with AI/ML across all of Marqeta's external products and internal productivity tools.

Vice President, Machine Learning Engineering

2022 - 2024

I started and led the Card Tech Machine Learning (CTML) organization at Capital One over a period of ~2.5y. CTML is now a center of excellence of AI and Machine Learning for Capital One's credit card business. The mission of CTML is to be a beacon of machine learning engineering excellence and deliver innovative, real-time intelligent experiences for Capital One customers. The CTML organization is tasked with building real-world ML models that support Capital One's Credit Card products and services including Marketing, Fraud, Small Business and many more. This is accomplished with teams of Machine Learning Engineers, Data Scientists, Software Engineers, Data Engineers, and Product Managers bringing to life new and exciting AI/ML powered customer delighting experiences to further Capital One's mission to Change Banking for Good.

STO (Single Threaded Owner) Alexa Domains

2018 - 2021

I led multi-disciplinary teams of Software Engineers, Product Managers, Data Scientists and Technical Program Managers to deliver AI/ML customer-facing experiences to Alexa customers World-Wide. I led the Engineering teams for Alexa Kitchen Domain. Our mission is to help customers get food to table daily, and save time while doing it. To deliver on this mission, we built Machine Learning (ML) experiences such as our Kitchen AI assistant which guides customers with a conversational Food AI along their journey of picking, purchasing, and preparing a meal. Give it a try - next time you're hungry or even if you just have the munchies, ask an echo device "Alexa, what should I eat?" and you'll enter into a rich conversational AI experience that we built apart from the more common transactional voice interaction experience. After completing my seventh Q4 holiday shopping peak with TRMS (Transaction Risk Management Systems) in Seattle, where I worked with incredibly talented Amazonians singularly focused on protecting customers against bad actors to make Amazon the safest place to transact online, I moved onto my next adventure at Amazon and also returned to my hometown here in the Bay Area where I began working on one of the coolest products on the planet - Alexa! My Alexa teams are obsessed with making Alexa smarter by empowering her with best in class ML and AI to answer all information-related questions for customers which include questions about weather, sports, business, entertainment and more. It’s Day 1 all over again!

AI / ML Engineering Leader - Machine Learning Risk Platform

2016 - 2018

Machine Learning (ML) Engineering leader for Amazon's Worldwide Risk Platform that runs a real-time ML model risk evaluation for every order customers place on Amazon worldwide. My team worked on the incredibly hard problem of making this ML risk evaluation go from an offline check to running in real-time at Peak holiday traffic volume (think: Prime Day, Black Friday, Cyber Monday, and the last few days leading up to Christmas when folks are rushing to get their holiday gift orders placed!) for all of Amazon world-wide. Along with our Data Science parter teams we innovated on behalf of customers to make this happen so that we could keep the bad guys away and make sure that Customers were getting their orders fulfilled at the busiest and most critical times. We also worked on the problem of detecting and mitigating against malicious usage across all of Amazon. From Retail (including Bookstore) to Kindle, to AWS and Echo devices, my team’s systems protected all of Amazon's businesses and our customers from Fraudsters. We built real-time, self-service, best in class Machine Learning solutions to detect and stop bad guys at Amazon scale with ML and the awesomness of Amazon Web Services.

Manager, Software Development - TRMS

2012 - 2016

I ran the CAP (Customer Account Protection) team. This team built software powered by AI/ML to detect and mitigate against malicious botnets, phishing campaigns, and account compromise attempts. We worked with Amazon’s Information Security and Amazon’s Identity teams to launch company-wide initiatives to better protect our customers against bad actors trying to compromise customer accounts by leveraging the latest in AI/ML malicious detection techniques.

Software Development Manager Natural Language Processing

2010 - 2011

Principal Software Engineer(Trovix) - Natural Language Processing

2006 - 2010

From Dec 2006 - Aug 2008 I worked for Trovix, a silicon valley startup where we were built a semantic search engine that was optimized for matching the right candidate resumes to the right jobs. Monster.com loved our innovative search technology so much that they acquired us in Aug 2008, and ever since then our NLP semantic search engine has been powering all of Monster.com’s searches. -- Trovix -- As a technical lead at Trovix (silicon valley startup that was acquired by Monster.com), I was responsible for the design and implementation of Java-based integration and migration solutions between Trovix and various third-party systems. My role involved working closely with both technical and non-technical customers to design and implement integration and data migration projects. I was also in charge of designing and maintaining automation tasks for several large-sized customer deployments. In addition to these responsibilities, I was actively involved with the Operations team, assisting with automation, imaging, and administration of Linux servers. Furthermore, I contributed to the design and setup of the current Data Center. -- Post Monster Acquisition -- Engineering Manager for a team responsible for the Natural Language Processing (NLP) of all Resumes and Jobs for Monster's 6Sense technology. We build highly scalable, concurrent, sophisticated backend J2EE Java Software.

Senior Software Engineer (Marimba)

2001 - 2005

In my role, I designed and implemented multithreaded Java applications to manage Unix, Windows, and Mac servers. I utilized J2EE technologies, including Servlets, JSP, XML, RMI, and JNI, to implement key features. To ensure the quality of the applications, I created automated tests using JUNIT and developed automated scalability tests to simulate thousands of endpoints. I also created build scripts using ANT and Make, and implemented JNI hooks for native C code on Unix platforms. Working closely with Product Marketing, I developed use cases from customer requirements and wrote design docs for all new features implemented. As the team's Unix/Linux expert, I was heavily involved in the implementation and debugging of native and Java multithreaded programming. I participated in the design and implementation of the Marimba Asset Management and Discovery tool for Unix clients and developed Unix clients for Linux, Solaris, AIX & HP-UX platforms. As the team lead on the Unix OS Management Tool, I incorporated Kickstart & Jumpstart Technologies into the Marimba Product Suite.

Software Engineer II

1999 - 2000

Software Engineer

1998 - 1999

Working at Sun Microsystems in the Sun Cluster team was a dream job for me right out of school. I was doing software development for Sun’s High Availability product for Sun Servers running the Solaris Operating System.