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Harshul Gupta Email & Phone Number

Software Engineer at Amazon Prime Air (Perception) at Amazon
Location: Seattle, Washington, United States 8 work roles 2 schools
1 work email found @amazon.com LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

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Current company
Role
Software Engineer at Amazon Prime Air (Perception)
Location
Seattle, Washington, United States

Who is Harshul Gupta? Overview

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Quick answer

Harshul Gupta is listed as Software Engineer at Amazon Prime Air (Perception) at Amazon, based in Seattle, Washington, United States. AeroLeads shows a work email signal at amazon.com and a matched LinkedIn profile for Harshul Gupta.

Harshul Gupta previously worked as Software Engineer at Amazon and Computer Vision Research Intern at Outward, Inc.. Harshul Gupta holds Master Of Science - Ms, Computer Engineering from Uc San Diego.

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Email format at Amazon

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{first}{last}@amazon.com
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AeroLeads found 1 current-domain work email signal for Harshul Gupta. Compare company email patterns before reaching out.

Profile bio

About Harshul Gupta

I am a software engineer working on autonomous drone delivery within the perception team at Amazon Prime Air. In 2020, I finished my graduate studies at the University of California San Diego with a Master's in Computer Engineering. My key area of interest lies in the field of Deep Learning and I have worked on several problems pertaining to GANs, Engagement Detection, and Text to Image Generation. Github: https://github.com/harshulgupta2

Listed skills include C, C++, Flash Memory, Perl/Python, and 16 others.

Current workplace

Harshul Gupta's current company

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Amazon
Amazon
Software Engineer at Amazon Prime Air (Perception)
AeroLeads page
8 roles

Harshul Gupta work experience

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

Software Engineer

Current

Seattle, WA, US

Apr 2020 - Present

Computer Vision Research Intern

San Jose, CA, US

Jun 2019 - Dec 2019

Graduate Teaching Assistant

La Jolla, CA, US

Teaching Assistant for ECE 228 - Machine Learning for Physical Applications under the guidance of Professor Peter Gerstoft.

Apr 2019 - Jun 2019

Graduate Teaching Assistant

La Jolla, CA, US

Teaching Assistant for CSE 148 - Advanced Processor Architecture Design under the guidance of Professor Dean M. Tullsen.

Jan 2019 - Mar 2019

Machine Learning Research Intern

Bengaluru, Karnataka, IN

  • Part of Multimodal Perception Lab headed by Professor Dinesh Babu Jayagopi
  • Designed a platform based on Python for a Socially Interactive Virtual Language Tutor for teaching the French language to the end users. Major components of the platform were
  • Facial Recognition Module
  • Engagement Detection Module
  • MARC Virtual Agent and Language Translation Module
  • Built a face detector using YOLOv2 [computed anchor-boxes using k means] and an SVM based engagement detector using OpenFace [F1 score: 0.82; ZeroMQ to get OpenFace features].
Apr 2018 - Jul 2018

Senior Engineer, R&D Engineering (Memory Technology )

San Jose, CA, US

  • Designed C based Firmware APIs to statistically characterize the performance and endurance of NAND Flash across varied fabrication lots using an ARC processor. Worked with GoLogic and JTAG debugger to resolve the.
  • Minimized the load on BCH and LDPC unit of ASIC by developing novel algorithms to detect optimal read voltages.
  • Improved the existing write abort detection model to avoid miss-detection of an unforeseen power droop during program operation. Presented the algorithm at an internal conference of Western Digital Corporation.
  • Created a tool using Python for generating the failing command sequence from GoLogic Waveform to accelerate the memory debug process.
Jul 2017 - Apr 2018

Engineer, R&D Engineering (Memory Technology)

San Jose, CA, US

  • Co-Inventor, Patent (USPTO) Dynamic Read Table Generation
  • Utilized the soft-bit reads to find optimal read voltages dynamically for an MLC NAND Flash which compensated for the need of stronger ECC by reducing the overall read-errors and helped in keeping the production cost.
  • SanDisk Innovation Award 2016 recipient.
Jun 2015 - Jun 2017

Audio Firmware Division ( Internship )

Palo Alto, California, US

  • Optimized the fixed point C models of audio algorithms to get the optimal performance on a 64-bit dual SIMD, RISC architecture based DSP processor for a set-top box (STB) chip. Considering the importance of MAC in DSP.
  • Efficiently employed loop unrolling along with vectorization for the most cycle intensive functions to reduce the overall execution cycles. Worked primarily on PCM Wave, MPEG-4 ALS, and Dolby Multistream Decoder
Jan 2015 - Jun 2015
2 education records

Harshul Gupta education

Master Of Science - Ms, Computer Engineering

Uc San Diego

B.E. (Hons.), Electronics And Instrumentation

Birla Institute Of Technology And Science, Pilani
FAQ

Frequently asked questions about Harshul Gupta

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

What company does Harshul Gupta work for?

Harshul Gupta works for Amazon.

What is Harshul Gupta's role at Amazon?

Harshul Gupta is listed as Software Engineer at Amazon Prime Air (Perception) at Amazon.

What is Harshul Gupta's email address?

AeroLeads has found 1 work email signal at @amazon.com for Harshul Gupta at Amazon.

Where is Harshul Gupta based?

Harshul Gupta is based in Seattle, Washington, United States while working with Amazon.

What companies has Harshul Gupta worked for?

Harshul Gupta has worked for Amazon, Outward, Inc., University Of California San Diego, International Institute Of Information Technology – Bangalore, and Western Digital.

How can I contact Harshul Gupta?

You can use AeroLeads to view verified contact signals for Harshul Gupta at Amazon, including work email, phone, and LinkedIn data when available.

What schools did Harshul Gupta attend?

Harshul Gupta holds Master Of Science - Ms, Computer Engineering from Uc San Diego.

What skills is Harshul Gupta known for?

Harshul Gupta is listed with skills including C, C++, Flash Memory, Perl/Python, Verilog, Matlab, Microsoft Excel, and Latex.

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