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Harrsh Parikh Email & Phone Number

Machine Learning Engineer at Meta
Location: Greater Seattle Area, United States, United States 9 work roles 1 school
1 work email found @microsoft.com 1 phone found area 312 LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 1 phone

Work email h****@microsoft.com
Direct phone (312) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Machine Learning Engineer
Location
Greater Seattle Area, United States, United States
Company size

Who is Harrsh Parikh? Overview

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Quick answer

Harrsh Parikh is listed as Machine Learning Engineer at Meta, a company with 136862 employees, based in Greater Seattle Area, United States, United States. AeroLeads shows a work email signal at microsoft.com, phone signal with area code 312, and a matched LinkedIn profile for Harrsh Parikh.

Harrsh Parikh previously worked as ML Engineer/Applied Scientist at Microsoft and ML Engineer/Applied Scientist at Resmed. Harrsh Parikh holds Master Of Science (M.S.), Computer Science from Illinois Tech.

Company email context

Email format at Meta

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*@microsoft.com
68% confidence

AeroLeads found 1 current-domain work email signal for Harrsh Parikh. Compare company email patterns before reaching out.

Profile bio

About Harrsh Parikh

A machine learning engineer passionate about cutting-edge technology and solving real-world problems, with experience creating machine learning models and retraining systems and transforming data science prototypes to production-grade solutions.

Listed skills include Python, C, Java, C++, and 30 others.

Current workplace

Harrsh Parikh's current company

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Meta
Meta
Machine Learning Engineer
Kirkland, WA, US
Employees
136862
AeroLeads page
9 roles

Harrsh Parikh work experience

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

Machine Learning Engineer

Kirkland, WA, US

Ml Engineer/Applied Scientist

Current

Redmond, Washington, US

- Partnered with data scientists and cross-functional teams to apply SLM for improving image understanding.- Contributed to Generative AI safety goals by fine-tuning LLMs to prevent harmful images from being generated by Bing Image Creator.

Feb 2022 - Present

Ml Engineer/Applied Scientist

San Diego, CA, US

- Researched cutting-edge facial scanning algorithms (US17/486,492) for sleep apnea mask sizing and recommendation, resulting in improved customer compliance by 5% and annual cost savings of $1.2M.- Enhanced web and mobile applications to interact with trained CV models for real-time predictions.

Jan 2021 - Feb 2022

Machine Learning Engineer

Sunnyvale, California, US

  • Researched, designed, and implemented machine learning applications for the next-generation Impostor (BEC) email classifier.
  • Increased the number of true positives by more than 37% while reducing false positives by more than 25%.
  • Deployed validated models to the evaluation system, and developed techniques for training models and visualizing the performance of multiple ML models.
  • Recognized company-wide with Above and Beyond and Outstanding Technical Contribution award by CEO.
Jun 2020 - Jan 2021

Data Scientist Ii

Sunnyvale, California, US

Jun 2019 - Jun 2020

Data Scientist I

Sunnyvale, California, US

Mar 2018 - Jun 2019

Data Scientist

Clearaccessip
  • Designed and implemented a deep learning algorithm to do semantic analysis on Patent data (~32B tokens) to provide a customized recommendation.
  • Developed web crawlers to collect company and patent data from web and implemented IR (Information Retrieval) system to get ranked results from large datasets.
Jan 2017 - Mar 2018

Data Science/Software Engineer Intern

Forchheim, DE

  • Analyzed large datasets (~15TB) to provide strategic direction to the company.
  • Implemented MongoDB and SQL scripts to create and populate tables in the data-warehouse for periodically reporting using Tableau.
Jun 2016 - Dec 2016

Research Assistant

Tapi Lab
  • Gender and Age Classification using Facial Features (github.com/tapilab/hparik11)
  • Designed an algorithm to identify the gender and age of LinkedIn Profiles using facial features using Deep Learning and OpenCV under the guidance of Dr. Aron Culotta.
Jun 2016 - Dec 2016
Team & coworkers

Colleagues at Meta

Other employees you can reach at metadownhole.com. View company contacts for 136862 employees →

1 education record

Harrsh Parikh education

  • Illinois Tech
    Illinois Tech
    Computer Science
FAQ

Frequently asked questions about Harrsh Parikh

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

What company does Harrsh Parikh work for?

Harrsh Parikh works for Meta.

What is Harrsh Parikh's role at Meta?

Harrsh Parikh is listed as Machine Learning Engineer at Meta.

What is Harrsh Parikh's email address?

AeroLeads has found 1 work email signal at @microsoft.com for Harrsh Parikh at Meta.

What is Harrsh Parikh's phone number?

AeroLeads has found 1 phone signal(s) with area code 312 for Harrsh Parikh at Meta.

Where is Harrsh Parikh based?

Harrsh Parikh is based in Greater Seattle Area, United States, United States while working with Meta.

What companies has Harrsh Parikh worked for?

Harrsh Parikh has worked for Meta, Microsoft, Resmed, Proofpoint, and Clearaccessip.

Who are Harrsh Parikh's colleagues at Meta?

Harrsh Parikh's colleagues at Meta include B J, Chirag Makwana, Vanessa Sainz, Lorenzo Montagnoli, and Deja Austin.

How can I contact Harrsh Parikh?

You can use AeroLeads to view verified contact signals for Harrsh Parikh at Meta, including work email, phone, and LinkedIn data when available.

What schools did Harrsh Parikh attend?

Harrsh Parikh holds Master Of Science (M.S.), Computer Science from Illinois Tech.

What skills is Harrsh Parikh known for?

Harrsh Parikh is listed with skills including Python, C, Java, C++, Sql, Machine Learning, Microsoft Office, and Data Analysis.

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