Aidin Tamhidi, Ph.D.
AeroLeads people directory · profile

Aidin Tamhidi, Ph.D. Email & Phone Number

Software Engineer, Machine Learning at Meta
Location: San Francisco Bay Area, United States, United States 8 work roles 3 schools
LinkedIn matched
✓ Verified May 2026 3 data sources Profile completeness 86%

Contact Signals

LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Software Engineer, Machine Learning
Location
San Francisco Bay Area, United States, United States
Company size

Who is Aidin Tamhidi, Ph.D.? Overview

A concise factual answer block for searchers comparing this professional profile.

Quick answer

Aidin Tamhidi, Ph.D. is listed as Software Engineer, Machine Learning at Meta, a company with 980 employees, based in San Francisco Bay Area, United States, United States. AeroLeads shows a matched LinkedIn profile for Aidin Tamhidi, Ph.D..

Aidin Tamhidi, Ph.D. previously worked as ML Engineer at Berkshire Hathaway Specialty Insurance and Graduate Student Researcher at The B. John Garrick Institute For The Risk Sciences At Ucla. Aidin Tamhidi, Ph.D. holds Doctor Of Philosophy - Phd, Engineering from University Of California, Los Angeles.

Company email context

Email format at Meta

This section adds company-level context without repeating Aidin Tamhidi, Ph.D.'s masked contact details.

Meta

Review company-level records connected to Aidin Tamhidi, Ph.D. before choosing the right outreach path.

Profile bio

About Aidin Tamhidi, Ph.D.

Passionate about building intelligent systems, my expertise is designing and optimizing ensemble machine learning models for large-scale data applications. My work spans deploying deep learning for image classification and object detection, advancing techniques in probabilistic forecasting, and developing end-to-end pipelines on platforms like Microsoft Azure. With a strong foundation in data science, research, and real-world engineering, I specialize in transforming complex datasets into actionable insights for decision-making in dynamic environments.

Current workplace

Aidin Tamhidi, Ph.D.'s current company

Company context helps verify the profile and gives searchers a useful next step.

Meta
Meta
Software Engineer, Machine Learning
Menlo Park, CA, US
Website
Employees
980
AeroLeads page
8 roles

Aidin Tamhidi, Ph.D. work experience

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

Software Engineer, Machine Learning

Menlo Park, CA, US

Ml Engineer

Current
  • Developed a computer vision pipeline using YOLO and SAM models to detect building vulnerabilities from Google Street View imagery
  • Engineered scalable machine learning models on Spark, processing large-scale dataset to predict portfolio damages from structural and earthquake features
  • Built ensemble ML models with probabilistic methods to extract insights from wind hazard datasets for improved risk assessment
  • Simulated stochastic wildfire footprints using Gaussian Process Regression to model non-stationary and anisotropic patterns
  • Implemented stochastic modeling techniques to simulate earthquake ground motion time series, aligning outputs with target spectra from Ground Motion Models
Jan 2023 - Present

Graduate Student Researcher

Los Angeles, California, United States

- Established a computer vision classification model to detect structural features, such as soft-story buildings and the number of stories, by automating the collection and analysis of an ensemble of street view images via Google API- Pioneered text mining on tweets to classify post-earthquake building damage states using NLP. This innovative approach.

Sep 2018 - Feb 2023

Teaching Assistant

Los Angeles

Holding supplementary problem solving and programming classes and grading home works for course M20, Introduction to Computer Programming with MATLAB, CEE 245, Ground-Motion Characterization, CEE 125 Fundamentals of Earthquake Engineering, and CEE 103 Applied numerical computing and modeling in Civil Engineering.

Jun 2019 - Mar 2022

Teaching Assistant

Buffalo/Niagara, New York Area

Holding supplementary problem solving classes and grading home works for course Statics

Aug 2017 - Jul 2018

Teaching Assistant

Tehran

Holding supplementary problem solving classes and grading home works for course Introductory Earthquake Engineering Course

Feb 2015 - Apr 2015

Teaching Assistant

Tehran

Holding supplementary problem solving classes and grading home works for course Dynamics

Sep 2013 - Dec 2014
Team & coworkers

Colleagues at Meta

Other employees you can reach at bhspecialty.com. View company contacts for 980 employees →

3 education records

Aidin Tamhidi, Ph.D. education

FAQ

Frequently asked questions about Aidin Tamhidi, Ph.D.

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

What company does Aidin Tamhidi, Ph.D. work for?

Aidin Tamhidi, Ph.D. works for Meta.

What is Aidin Tamhidi, Ph.D.'s role at Meta?

Aidin Tamhidi, Ph.D. is listed as Software Engineer, Machine Learning at Meta.

Where is Aidin Tamhidi, Ph.D. based?

Aidin Tamhidi, Ph.D. is based in San Francisco Bay Area, United States, United States while working with Meta.

What companies has Aidin Tamhidi, Ph.D. worked for?

Aidin Tamhidi, Ph.D. has worked for Meta, Berkshire Hathaway Specialty Insurance, The B. John Garrick Institute For The Risk Sciences At Ucla, Ucla Henry Samueli School Of Engineering And Applied Science, and University At Buffalo.

Who are Aidin Tamhidi, Ph.D.'s colleagues at Meta?

Aidin Tamhidi, Ph.D.'s colleagues at Meta include Gabriel Arroyo, Tyler Patterson, Ivor Bevan, Evonne Lim, and Ella Goodman.

How can I contact Aidin Tamhidi, Ph.D.?

You can use AeroLeads to view verified contact signals for Aidin Tamhidi, Ph.D. at Meta, including work email, phone, and LinkedIn data when available.

What schools did Aidin Tamhidi, Ph.D. attend?

Aidin Tamhidi, Ph.D. holds Doctor Of Philosophy - Phd, Engineering from University Of California, Los Angeles.

Find 750M verified contacts

Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.