Shervine Amidi

Lead ML Engineer

San Francisco, California, United States10 yrs 5 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in Machine Learning and Deep Learning.
  • Experienced educator with a focus on advanced AI topics.
  • Proven track record in industry-leading tech companies.
Stackforce AI infers this person is a Machine Learning and AI expert with a strong educational background.

Contact

shervine.amidi@stanford.eduLinkedIn

Skills

Core Skills

Machine LearningTeachingSoftware EngineeringData Science

Other Skills

Deep LearningGeminiGitGoogle AssistantLLMsLaTeXMatlabPythonRReal-time fault detectionRepresentation learningStatisticsUnsupervised clustering

About

stanford.edu/~shervine

Experience

10 yrs 5 mos
Total Experience
2 yrs 7 mos
Average Tenure
5 yrs 5 mos
Current Experience

Netflix

Senior Machine Learning Engineer

Jan 2025 – Present · 1 yr 5 mos · San Francisco Bay Area

  • LLMs
LLMsMachine Learning

Stanford university

2 roles

Adjunct Lecturer

Promoted

Jan 2021 – Present · 5 yrs 5 mos · Stanford, California, United States

  • Adjunct Lecturer - CME 295: Transformers & Large Language Models (Spring 2025, Fall 2025)
  • Instructor - ICME Workshop: Transformers & Large Language Models (2021 - present)
  • My twin brother Afshine and I wrote a book about the topics covered in our class: https://www.amazon.com/dp/B0DC4NYLTN/
Teaching

Teaching Assistant

Jan 2018 – Jan 2019 · 1 yr · Stanford, California, United States

  • CS 221: Artificial Intelligence (Spring 2019)
  • CS 230: Deep Learning (Winter 2019)
  • CS 229: Machine Learning (Fall 2018)
  • CME 102: Ordinary Differential Equations for Engineers (Spring 2018)
  • CME 106: Introduction to Probability and Statistics for Engineers (Winter 2018)
  • My twin brother Afshine and I created study guides for each class that I got to TA: https://stanford.edu/~shervine/teaching
Teaching

Google

Senior Software Engineer

Jan 2019 – Jan 2025 · 6 yrs · San Francisco Bay Area

  • Google Assistant and Gemini
Google AssistantGeminiSoftware Engineering

Uber

Data Science Intern

Jan 2018 – Jan 2018 · 0 mo · San Francisco Bay Area

  • Representation learning
Representation learningData Science

Schlumberger

Data Science/AI Intern

Jan 2016 – Jan 2017 · 1 yr · Greater Houston

  • Unsupervised clustering and real-time fault detection
Unsupervised clusteringReal-time fault detectionData Science

Ministère chargé de l'éducation nationale

Teaching Assistant

Jan 2015 – Jan 2016 · 1 yr · Paris, Île-de-France, France

  • Information Technology at Ecole Centrale Paris (Fall 2015)
  • Physics at Lycée Saint-Louis (Fall 2015, Winter 2016, Spring 2016)
Teaching

Education

Stanford University

Master's degree — Computational and Mathematical Engineering

Jan 2017 – Jan 2019

Ecole Centrale Paris

Bachelor's and Master's degree — Ingénieur Centrale Paris

Jan 2014 – Jan 2016

Lycée Saint Louis

Classes préparatoires MPSI/MP*

Jan 2012 – Jan 2014

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