Image of Fardin Abdi

Fardin Abdi's Email & Phone Number

[email protected], ex Uber, [email protected]

Fardin Abdi's Email Addresses

f****[email protected] Personal Email
f****[email protected] Personal Email
a****[email protected] Work Email

Fardin Abdi's Phone Numbers

(206) ***-*119 Phone number

Fardin Abdi's Work Experience

Pinterest

Sr. Machine Learning Engineer

December 2020 to Present

Pinterest

Machine Learning Engineer

December 2020 to Present

Uber

Machine Learning Engineer

October 2018 to December 2020

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Fardin Abdi's Education

University of Illinois at Urbana-Champaign

January 2011 to January 2017

University of Tehran

January 2007 to January 2011

Fardin Abdi's Professional Skills Radar Chart

Based on our findings, Fardin Abdi is ...

Structured
Determined
Reserved

What's on Fardin Abdi's mind?

Based on our findings, Fardin Abdi is ...

52% Left Brained
48% Right Brained

Fardin Abdi's Estimated Salary Range

About Fardin Abdi's Current Company

Uber

Frequently Asked Questions about Fardin Abdi

What company does Fardin Abdi work for?

Fardin Abdi works for Uber


What is Fardin Abdi's role at Uber?

Fardin Abdi is


What is Fardin Abdi's personal email address?

Fardin Abdi's personal email addresses are and f****[email protected] and f****[email protected]


What is Fardin Abdi's business email address?

Fardin Abdi's business email address is a****[email protected]


What is Fardin Abdi's Phone Number?

Fardin Abdi's phone (206) ***-*119


What industry does Fardin Abdi work in?

Fardin Abdi works in the Internet industry.


About Fardin Abdi

💼 Past Experience

Experience:deep learning platform @ UberFardin Abdi is currently a Machine Learning Engineer at Capital One from May 2017 to October 2018 (1 year 6 months) in 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 changes.Contributed to design and development of the infrastructure for on-demand deep-learning model training, hyper-parameter tuning, and model management.Sought new customers. Assessed and re-assessed customers’ needs weekly. Completed review with C1 Risk Office.Reduced waiting time for accessing sensitive datasets in QA environments from days to hours, for 30+ teams and 400+ engineers.Filed 30+ patents on the developed technologies.Winner of Capital One Cape Award for Tech Excellence. Research Assistant at University of Illinois at Urbana-Champaign from 2011 to 2017 (6 years) in 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 correctness to guarantee the safety of physical systems.My research is focused on designing software architectures that enable such a safety property for cyber-physical systems. In particular, I have proposed and implemented a novel architecture for fault-tolerance and fault-recovery that enables runtime system restarts with formal guarantees about safety during and after the restart. In addition, I proposed and implemented another novel monitoring kernel to utilize the combination of physical plant dynamics and ARM TrustZone technology to provide guaranteed safety.Software Engineering Intern at Affirm, Inc. from August 2014 to December 2014 (5 months) in San Francisco Bay Area.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.Sofware Engineering Intern. at Apple from May 2014 to August 2014 (4 months) in 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 bottlenecks in content purchasing process and proposed improvements.Tested and submitted code into production.


🎓 Education

Fardin Abdi has a Doctor of Philosophy from the University of Illinois at Urbana-Champaign. Dr. Abdi is a computer scientist with a focus on operating systems and display technologies. His dissertation was "A New Framework for Real-time Graphics in Operating Systems."


💡 Technical & Interpersonal Skills

Fardin Abdi's professional, technical, and interpersonal skills:Fardin Abdi has over 5 years of experience in development and engineering, specifically in the field of machine learning. He has a strong focus on deep learning, and is particularly able to contribute to the development of deep learning models in Uber. Fardin also has experience in dispute resolution, evidence management, and user management.


Fardin Abdi’s Personal Email Address, Business Email, and Phone Number

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In a nutshell

Fardin Abdi's Personality Type

Introversion (I), Sensing (S), Thinking (T), Perceiving (P)

Average Tenure

2 year(s), 0 month(s)

Fardin Abdi's Willingness to Change Jobs

Unlikely

Likely

Open to opportunity?

There's 92% chance that Fardin Abdi is seeking for new opportunities

Fardin Abdi's Social Media Links

/in/fardin-abdi
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