Amirhossein Herandi
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Amirhossein Herandi Email & Phone Number

Applied Scientist at Amazon
Location: Kirkland, Washington, United States 5 work roles 2 schools
2 phones found area 682 LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

Contact Signals · 2 phones

Direct phone (682) ***-****
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Current company
Role
Applied Scientist
Location
Kirkland, Washington, United States
Company size

Who is Amirhossein Herandi? Overview

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Quick answer

Amirhossein Herandi is listed as Applied Scientist at Amazon, a with 734811 employees, based in Kirkland, Washington, United States. AeroLeads shows phone signal with area code 682 and a matched LinkedIn profile for Amirhossein Herandi.

Amirhossein Herandi previously worked as Senior Data Scientist at Astrumu and Data Scientist at Emailage. Amirhossein Herandi holds Master Of Science - Ms, Computer Science from The University Of Texas At Arlington.

Company email context

Email format at Amazon

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Amazon

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Profile bio

About Amirhossein Herandi

I am knowledgeable at using Deep Learning tool kits and techniques in different applications in both academia and industry, Natural Language Processing, Computer Vision, and fraud prevention.

Listed skills include Java, C++, Data Mining, Machine Learning, and 37 others.

Current workplace

Amirhossein Herandi's current company

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Amazon
Amazon
Applied Scientist
Kirkland, WA, US
Website
Employees
734811
AeroLeads page
5 roles

Amirhossein Herandi work experience

A career timeline built from the work history available for this profile.

Applied Scientist

Kirkland, Wa, Us

Senior Data Scientist

Current

Kirkland, Washington, United States

Natural Language Processing researchWorking with Pytorch and Huggingface Transformers. Focusing on BERT and GPT-2 based models.Fine tuning and transfer learning.

Oct 2019 - Present

Data Scientist

Chandler, Arizona

Classification and transfer learning using Pytorch and Tensorflow.

Jun 2018 - Oct 2019

Data Science Intern

Allentown, Pennsylvania Area

Processing and analyzing medical text using novel as well as classic Natural Language Processing tools and techniques including various parsers, NLTK, and different Deep Learning methods, algorithms and layers including Bidirectional LSTMs, GRUs, and CNNS.Trained Skills:Data Science InternNatural Language ProcessingInformation ExtractionSupervised LearningMachine LearningDeep Learning

May 2017 - Dec 2017
Team & coworkers

Colleagues at Amazon

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2 education records

Amirhossein Herandi education

Master Of Science - Ms, Computer Science

Activities and Societies: Machine Learning - Supervised and Unsupervised Learning - Clustering - Deep Learning

FAQ

Frequently asked questions about Amirhossein Herandi

Quick answers generated from the profile data available on this page.

What company does Amirhossein Herandi work for?

Amirhossein Herandi works for Amazon.

What is Amirhossein Herandi's role at Amazon?

Amirhossein Herandi is listed as Applied Scientist at Amazon.

What is Amirhossein Herandi's phone number?

AeroLeads has found 2 phone signal(s) with area code 682 for Amirhossein Herandi at Amazon.

Where is Amirhossein Herandi based?

Amirhossein Herandi is based in Kirkland, Washington, United States while working with Amazon.

What companies has Amirhossein Herandi worked for?

Amirhossein Herandi has worked for Amazon, Astrumu, Emailage, The University Of Texas At Arlington, and Siemens Healthineers.

Who are Amirhossein Herandi's colleagues at Amazon?

Amirhossein Herandi's colleagues at Amazon include Rk Saab, Dhruv Patel, Burak Ergün, Mahmoud Momani, and نئطة🌜 ..

How can I contact Amirhossein Herandi?

You can use AeroLeads to view verified contact signals for Amirhossein Herandi at Amazon, including work email, phone, and LinkedIn data when available.

What schools did Amirhossein Herandi attend?

Amirhossein Herandi holds Master Of Science - Ms, Computer Science from The University Of Texas At Arlington.

What skills is Amirhossein Herandi known for?

Amirhossein Herandi is listed with skills including Java, C++, Data Mining, Machine Learning, Rapidminer, Matlab, Research, and Microsoft Office.

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