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Harshita Mangal Email & Phone Number

Staff MLE and Manager at Qualcomm
Location: San Diego County, California, United States 10 work roles 2 schools
1 work email found @qualcomm.com LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

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Work email h****@qualcomm.com
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Current company
Role
Staff MLE and Manager
Location
San Diego County, California, United States
Company size

Who is Harshita Mangal? Overview

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Quick answer

Harshita Mangal is listed as Staff MLE and Manager at Qualcomm, a company with 48952 employees, based in San Diego County, California, United States. AeroLeads shows a work email signal at qualcomm.com and a matched LinkedIn profile for Harshita Mangal.

Harshita Mangal previously worked as Staff Machine Learning Engineer/Manager at Qualcomm and Staff Machine Learning Software Engineer at Qualcomm. Harshita Mangal holds Master’S Degree, Electrical Engineering from Uc San Diego.

Company email context

Email format at Qualcomm

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{first_initial}{last}@qualcomm.com
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Profile bio

About Harshita Mangal

Currently, I am working at Qualcomm Research on building Network quantization and compression techniques for deep learning frameworks like PyTorch and TensorFlow to accelerate the performance of models on Qualcomm Hardware. Before Qualcomm, I was pursuing my Master's at UC San Diego in Electrical engineering with a focus on Computer Vision and Machine Learning and worked with Professor Nuno Vasconcelos at SVCL. I believe in hard work and determination and I am always eager to learn. I strongly believe in the philosophy- "You may never know until you try". I like exploring new challenges in the realm of Deep Learning and its applications in Computer Vision.

Listed skills include Matlab, C, Programming, Computer Vision, and 21 others.

Current workplace

Harshita Mangal's current company

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Qualcomm
Qualcomm
Staff MLE and Manager
Sunnyvale, CA, US
Website
Employees
48952
AeroLeads page
10 roles

Harshita Mangal work experience

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

Staff Mle And Manager

Sunnyvale, CA, US

Staff Machine Learning Engineer/Manager

Current

San Diego, CA, US

Feb 2024 - Present

Staff Machine Learning Software Engineer

San Diego, CA, US

Dec 2023 - Jan 2024

Senior Machine Learning Software Engineer

San Diego, CA, US

Oct 2020 - Dec 2023

Machine Learning Software Engineer

San Diego, CA, US

  • Worked on E2E development, design and testing for features like Spatial SVD, Cross-Layer Equalization (C++ and PyTorch), Bias Correction (C++ and PyTorch), Visualization (TensorFlow) for AIMET tool
  • Recognized multiple times for high quality, independent work and timely delivery of code
  • Developed an interactive demo for NeurIPS 2019 to showcase Cross-Layer Equalization and Visualization feature
  • Presented a poster on Network Quantization at Qualcomm ML Summit 2019
Apr 2018 - Nov 2020

Graduate Teaching Assistant

La Jolla, CA, US

  • Teaching Assistant for course- Detection Theory (ECE 254) (Fall '17) and Data Science in Practice (COGS 108) (Winter '18)
  • Responsibilities involve conducting office hours, preparing and grading assignments
Sep 2017 - Mar 2018

Intern

Statistical And Visual Computing Lab
  • Fast Hand detection using VGG hand dataset- Implemented an efficient algorithm using Faster-RCNN for Fast Hand Detection in a Video. The efficiency of the algorithm was ~ 56%
  • Human Action Detection and Prediction- Used a combination of Optical flow image and RGB image for each frame to detect the activity being performed in the frame using a 3D Conv-Net on the MP-II cooking dataset
  • Implemented the codes in TensorFlow
Jun 2017 - Sep 2017

Graduate Teaching Assistant

La Jolla, CA, US

  • Teaching Assistant for Data Science in Practice (COGS 108)
  • Prepared assignments, conducted tutorial sessions and provided guidance to students
Mar 2017 - Jun 2017

Software Developer Intern

Wilmington, Delaware, US

  • Created a deformable bone model using 2D Statistical Shape and Appearance model for Contour detection of Femur from X-ray in Python
  • Mapped 3D markers on 2D marker clusters (obtained from KD-Trees) using Iterative Closest Point(ICP) to generate automatic labels. The accuracy of automatic labelling was around 98%
  • Performed marker calibration using Direct Linear Transform Algorithm
May 2016 - Jul 2016

Intern

Centre For Applied Research In Electronics
  • Implemented Dominant Frequency Selection, Cross-Correlation Algorithm and Delay-Sum Beamforming for Direction of Arrival Estimation and compared their performance by collecting data using LabVIEW
  • Performed data wrangling and noise filtering using MATLAB
  • Created a LabVIEW GUI for accessing the algorithms
Aug 2015 - Dec 2015
Team & coworkers

Colleagues at Qualcomm

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2 education records

Harshita Mangal education

Master’S Degree, Electrical Engineering

Uc San Diego

Bachelor’S Degree, Electrical And Electronics Engineering

Birla Institute Of Technology And Science, Pilani
FAQ

Frequently asked questions about Harshita Mangal

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

What company does Harshita Mangal work for?

Harshita Mangal works for Qualcomm.

What is Harshita Mangal's role at Qualcomm?

Harshita Mangal is listed as Staff MLE and Manager at Qualcomm.

What is Harshita Mangal's email address?

AeroLeads has found 1 work email signal at @qualcomm.com for Harshita Mangal at Qualcomm.

Where is Harshita Mangal based?

Harshita Mangal is based in San Diego County, California, United States while working with Qualcomm.

What companies has Harshita Mangal worked for?

Harshita Mangal has worked for Qualcomm, University Of California, San Diego - Jacobs School Of Engineering, Statistical And Visual Computing Lab, University Of California San Diego, and Algosurg Products Pvt Ltd.

Who are Harshita Mangal's colleagues at Qualcomm?

Harshita Mangal's colleagues at Qualcomm include Aldrin Limos, Jooho Kang, Kao-I Yeh, Ravi Rama Krishna Sripada, and Ranjith Kumar Murala.

How can I contact Harshita Mangal?

You can use AeroLeads to view verified contact signals for Harshita Mangal at Qualcomm, including work email, phone, and LinkedIn data when available.

What schools did Harshita Mangal attend?

Harshita Mangal holds Master’S Degree, Electrical Engineering from Uc San Diego.

What skills is Harshita Mangal known for?

Harshita Mangal is listed with skills including Matlab, C, Programming, Computer Vision, Microsoft Office, Python, Image Processing, and Powerpoint.

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