Fardin Abdi Email & Phone Number

Seattle, WA, US

Seattle, Washington, United States

* Merchant Credit Risk Tech Lead* Harness the power of LLMs and LLM agents to investigate risk and help sales, OPs, and strategy teams scale.* Maintain, improve, and launch models to assess risk, its magnitude, and opportunity cost.* Keep our code readable, reliable, and scalable.* Navigate the thrilling maze of migrating from one infra tool to next, and.

Seattle, Washington, United States

- Team lead for ads measurement modeling (advertiser growth and solutions group)- ML solutions to increase user offsite visibility

Seattle, Washington

I work on Uber's machine learning platform (Michelangelo team) with a focus on the deep-learning applications. I contribute to Horovod and work on productionizing deep learning models in Uber.Some of the tools I have worked on:- Horovod: Open-source distributed deep learning (https://github.com/horovod/horovod)- Petastorm: Open-source data access library.

Urbana-Champaign, Illinois Area

* Lead engineer on data profiler and synthetic data generation platform* Utilized deep-learning architectures such as Generative Adversarial Networks (GAN) and LSTMs for generating fully synthetic datasets, detecting sensitive content in datasets and replacing them with seemingly authentic fake replacements, and identifying key/column types and track the.

Urbana-Champaign, Illinois Area

Due to the growing performance requirements, embedded systems are increasingly more complex. Meanwhile, they are also expected to be reliable. Guaranteeing reliability on complex systems is very challenging. Consequently, there is a substantial need for designs that enable the use of unverified components such as operating systems without requiring their.

San Francisco Bay Area

* I was the 11th engineer at the time.* Contributed to Affirm’s Oauth 2.0 server, implemented the authentication of internal apps using Oauth* Developed an internal user dispute resolution and evidence management dashboard for customer service agents* Pushed code into production

Cupertino, CA

• Implemented additional instrumentation of iTunes and AppStore applications on iPhone/iPad* Developed job-cycle for extracting consequent user activity sessions from unorganized event reports using Hadoop* Identified.
• Tested and submitted code into production.

Urbana-Champaign, Illinois Area

Trained a malicious domain name detection using Neustar DNS report and deployed as a micro-service

Doctor Of Philosophy - Phd, Computer Science

Bachelor Of Science, Electrical Engineering