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Hadi Minooei Email & Phone Number

AI @ Google at Google
Location: Los Angeles Metropolitan Area, United States, United States 13 work roles 3 schools
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Current company
Google
Role
AI @ Google
Location
Los Angeles Metropolitan Area, United States, United States
Company size
1 employees

Who is Hadi Minooei? Overview

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Hadi Minooei is listed as AI @ Google at Google, a company with 1 employees, based in Los Angeles Metropolitan Area, United States, United States. AeroLeads shows a matched LinkedIn profile for Hadi Minooei.

Hadi Minooei previously worked as AI Engineer at Google and Founder at Ailand. Hadi Minooei holds Phd, Mechanism Design - C&O Department from University Of Waterloo.

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Profile bio

About Hadi Minooei

Specialties: Hands-on Leadership of AI and Machine Learning TeamsIC: Supervised and Unsupervised Machine Learning on structured and unstructured data. Some models/tools that I'm using in my daily IC work: random forest, gradient boosting, logistic regression, time-series, k-means), Deep Learning(CNN, LSTM, BERT, T5, ELMo, Transformers), NLP, NLU, LTR (learning to rank), Tensorflow, pytorch, Python, Scala, Java, Spark, SparkML, R, Airflow, AWS Sagemker, EC2, EMR, S3, Redshift, Google cloud, Gcs, Dataproc, BigQuery, BigTable, Spanner, Hadoop, Industrial and Academic background in:NLP, LLMs, FastAPI, Flask, FinTech, AI, Ad-Auctions, Mechanism Design, Algorithmic Game Theory, Optimization & Approximation Algorithms, Statistical Analysis, Big Data, Software Engineering

Current workplace

Hadi Minooei's current company

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Google
Google
AI @ Google
Mountain View, CA
Website
google.com
Employees
1
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13 roles · 20 years

Hadi Minooei work experience

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

Ai Engineer

Current
Google

Mountain View, CA, US

Jan 2024 - Present

Founder

Current
Ailand

Mission Viejo, CA, US

AILAND, https://artificialintelligenceland.com, is a consulting business in AI+NLP space that provides domain experts to clients who are looking for benefiting from recent advances in this area and especially benefit from their textual/unstructured data.

Jan 2021 - Present

Director Of Machine Learning & Ai

Salesforce

San Francisco, California, US

Hiring and building the first AI/ML team in MuleSoft - a Salesforce company. Leadingprojects in different machine learning areas including Search & Discovery, Ranking, Recommendation, Generative AI such as Code Generation LLMs, Conversational AI, and Time-Series Modeling.- Main tools/technologies: Python, SpaCy, Tensorflow, PyTorch, pandas, numpy.

Dec 2021 - Feb 2024

Director Machine Learning & Data Science

Bitvore

Irvine, California, US

- Enhanced NER: Augmented our NER pipeline with patterns to increase precision by 6% and recall by 8%.- Relevant Entity Recognition: Lead the RER model development and deployment based on a BERT-based fine-tuned NER and retrained SpaCy’s NER model (a modified BiLSTM).- News Similarity: an ensemble model that detects whether two articles are similar or not.

Feb 2020 - Dec 2021

Lead Machine Learning Engineer - Nlp

Bitvore

Irvine, California, US

- MuniArticles: Trained, tested and deployed to production a model that detects whether an article has important content about municipality bonds. This model saves 7 hours of a human content reviewer per week!- Advertisement Detector: Trained, tested and deployed to production a model that detects whether an article is an advertisement article or not..

Jul 2019 - Feb 2020

Chief Data Scientist

Funraise Inc

Costa Mesa, California, US

- Demographic Models Pipelines: Built multiple pipelines to train/test/evaluate and tune ML models to predict donors’ demographic data such as age and gender and write the predicted data to a Redshift table, scheduled via Apache Airflow.- Donors Analysis: This is a suite of analysis on donors data using EDA techniques in addition to supervised, such as.

2018 - 2019 ~1 yr

Senior Machine Learning Engineer

Snap Inc.

Santa Monica, California, US

- Graph Lookalike: Designed a prototype, trained, tuned, AB-Tested (on 300+ customers), and finally deployed to production, the Graph Based Lookalike product (GB-LAL). It uses features derived from social graph structure together with other features to train a logistic regression-based model that finds users similar to a set of seed users. This has.

2017 - 2018 ~1 yr

Data & Applied Scientist - Bing Ads

Microsoft

Redmond, Washington, US

Worked on the models and mechanism to improve the revenue and user/advertiser experience - Ads ranking and pricing of Bing ads

2015 - 2017 ~2 yrs

Machine Learning Engineer

Citlan
2013 - 2015 ~2 yrs

Software Engineer

Google

Mountain View, CA, US

May 2013 - Aug 2013

Research Assistant

University Of Waterloo

Waterloo, Ontario, CA

Online Ad-Auctions, Designing Optimal and Sub-optimal algorithms for online e-commerce problems

2008 - 2013 ~5 yrs

Teaching Assistant

University Of Waterloo

Waterloo, Ontario, CA

Network Flow Theory, Deterministic OR Models, Calculus One for Honors Math, Calculus One for Engineering, Linear Programming, Advanced Calculus for ECE students, Discrete Math for ECE students

2008 - 2013 ~5 yrs

Research Assistant

Sharif University

Combinatorial Algorithms, Graph Algorithms

2006 - 2008 ~2 yrs
Team & coworkers

Colleagues at Google

Other employees you can reach at google.com. View company contacts for 1 employees →

JV Jagannathan Venkatesh Jagannathan Venkatesh Colleague at GoogleSeattle, Washington, United States, United States View → PT Philip Troxel Philip Troxel Colleague at GoogleFlint, Michigan, United States, United States View → JJ John Johny John Johny Colleague at GoogleTroyes, Grand Est, France, France View → JW Jun Wang Jun Wang Colleague at GoogleMountain View, California, United States, United States View → SS Sugiyan Suherman Sugiyan Suherman Colleague at GoogleBandung, West Java, Indonesia, Indonesia View → AK Anuja Kadoo Anuja Kadoo Colleague at GoogleSan Francisco Bay Area, United States View → SP Sanjay Pandit Sanjay Pandit Colleague at GoogleDelhi, India, India View → VS Varun Sharma Varun Sharma Colleague at GoogleSingapore, Singapore, Singapore View → SP Sultan Plastik Bandung Sultan Plastik Bandung Colleague at GoogleBandung, West Java, Indonesia, Indonesia View → NP Neha Paliwal Neha Paliwal Colleague at GoogleBengaluru, Karnataka, India, India View →
3 education records

Hadi Minooei education

Phd, Mechanism Design - C&O Department

University Of Waterloo

Bachelor Of Science, Computer Science

Sharif University Of Technology

Masters Of Science, Computer Science

Sharif University Of Technology
FAQ

Frequently asked questions about Hadi Minooei

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

What company does Hadi Minooei work for?

Hadi Minooei works for Google.

What is Hadi Minooei's role at Google?

Hadi Minooei is listed as AI @ Google at Google.

Where is Hadi Minooei based?

Hadi Minooei is based in Los Angeles Metropolitan Area, United States, United States while working with Google.

What companies has Hadi Minooei worked for?

Hadi Minooei has worked for Google, Ailand, Salesforce, Bitvore, and Funraise Inc.

Who are Hadi Minooei's colleagues at Google?

Hadi Minooei's colleagues at Google include Jagannathan Venkatesh, Philip Troxel, John Johny, Jun Wang, and Sugiyan Suherman.

How can I contact Hadi Minooei?

You can use AeroLeads to view verified contact signals for Hadi Minooei at Google, including work email, phone, and LinkedIn data when available.

What schools did Hadi Minooei attend?

Hadi Minooei holds Phd, Mechanism Design - C&O Department from University Of Waterloo.

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