Shivaank Agarwal
AeroLeads people directory · profile

Shivaank Agarwal Email & Phone Number

Deep Learning@Apple || UC San Diego || BITS Pilani at Apple
Location: United States, United States, United States 7 work roles 2 schools
LinkedIn matched
3 data sources Profile completeness 86%

Contact Signals

LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Deep Learning@Apple || UC San Diego || BITS Pilani
Location
United States, United States, United States
Company size

Who is Shivaank Agarwal? Overview

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

Quick answer

Shivaank Agarwal is listed as Deep Learning@Apple || UC San Diego || BITS Pilani at Apple, a company with 218112 employees, based in United States, United States, United States. AeroLeads shows a matched LinkedIn profile for Shivaank Agarwal.

Shivaank Agarwal previously worked as Deep Learning Engineer at Apple and Graduate Teaching Assistant at Uc San Diego. Shivaank Agarwal holds Master'S Degree, Computer Science from Uc San Diego.

Company email context

Email format at Apple

This section adds company-level context without repeating Shivaank Agarwal's masked contact details.

Apple

Review company-level records connected to Shivaank Agarwal before choosing the right outreach path.

Profile bio

About Shivaank Agarwal

Graduate student pursuing masters in computer science with a specialization in computer vision. Seeking to solve challenging problems.

Current workplace

Shivaank Agarwal's current company

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

Apple
Apple
Deep Learning@Apple || UC San Diego || BITS Pilani
cupertino, california, united states
Website
Employees
218112
AeroLeads page
7 roles

Shivaank Agarwal work experience

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

Deep Learning Engineer

Current

Sunnyvale, California, United States

Working on deep learning/computer vision algorithms for the Apple Vision Pro

Jul 2023 - Present

Graduate Teaching Assistant

San Diego, California, United States

Fall '21: TA for MATH 11 - Calculus-Based Introductory Probability and Statistics Winter '22: TA for MATH 183 - Statistical MethodsSpring '22: TA for MATH 183 - Statistical MethodsFall '22: TA for CSE 252A - Computer Vision IWinter '23: TA for CSE 252B - Computer Vision IISpring' 23: TA for DSGN1 - Design of everyday things

Sep 2021 - Jun 2023

Technology Investigation Intern

Sunnyvale, California, United States

Neural architecture search in computer vision domain

Jun 2022 - Sep 2022

Research Intern

Bengaluru, Karnataka, India

1. Improved and optimized sound classification for real-time audio event detection, which performed better than the state-of-the-art YamNet (deep neural network) model on in-domain sounds.2. Collaborated with IoT team to create a video summarization algorithm in compressed h264 domain forsurveillance cameras, resulting in greater performance than.

Jan 2021 - Jun 2021

Undergraduate Research Assistant

Mumbai, Maharashtra, India

1. Initiated convolutional neural network-based one-shot learning for segregation of plastic waste imagesresulting in 99% accuracy across all plastic waste categories.2. Devised an algorithm that identified unseen plastic waste image categories with a precision of 0.95.

Jun 2020 - Dec 2020

Mitacs Gloablink Scholar

Calgary, Canada Area

1. Set up an image processing-based algorithm for automatic selection and tracking of a region of interest to remove background noise and capture the subtle body movements due to breathing.2. Combined pose estimation and motion detection to identify breathing rate from infra-red cameras, which was integrated in a system designed to monitor the health of.

May 2019 - Aug 2019

Computer Vision Engineer

Jio

Mumbai Area, India

1. Worked with a team of interns to design a large-scale ensembled facial recognition system, whichreplaced the identity card-based authorization system, leading to a faster employee entry/exit process2. Implemented detection and removal of outliers to improve the accuracy of the facial recognition system by 15% and simultaneously reduce the memory.

May 2018 - Jul 2018
Team & coworkers

Colleagues at Apple

Other employees you can reach at apple.com. View company contacts for 218112 employees →

2 education records

Shivaank Agarwal education

Master'S Degree, Computer Science

Fall '21 CSE 252A - Computer Vision 1 CSE 258 - Recommender Systems CSE 250A - Probabilistic Reasoning and Learning Winter '22 CSE 251B.

FAQ

Frequently asked questions about Shivaank Agarwal

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

What company does Shivaank Agarwal work for?

Shivaank Agarwal works for Apple.

What is Shivaank Agarwal's role at Apple?

Shivaank Agarwal is listed as Deep Learning@Apple || UC San Diego || BITS Pilani at Apple.

Where is Shivaank Agarwal based?

Shivaank Agarwal is based in United States, United States, United States while working with Apple.

What companies has Shivaank Agarwal worked for?

Shivaank Agarwal has worked for Apple, Uc San Diego, Samsung R&D Institute India, Indian Institute Of Technology, Bombay, and Schulich School Of Engineering, University Of Calgary.

Who are Shivaank Agarwal's colleagues at Apple?

Shivaank Agarwal's colleagues at Apple include Samuel Sasidharan, Jiea Salah, Agencia Reklaam, Gyanendra Pandey, and Christopher Crothers.

How can I contact Shivaank Agarwal?

You can use AeroLeads to view verified contact signals for Shivaank Agarwal at Apple, including work email, phone, and LinkedIn data when available.

What schools did Shivaank Agarwal attend?

Shivaank Agarwal holds Master'S Degree, Computer Science from Uc San Diego.

Find 750M verified contacts

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