Parth Agrawal Email and Phone Number
Parth Agrawal work email
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Parth Agrawal personal email
I'm a Software Engineer at Google AR, where I develop the perception and motion tracking systems that power immersive augmented reality experiences for millions of users.Previously at the Vision Lab, I explored the fascinating world of 3D vision and adversarial perturbations under the guidance of Dr. Alex Wong and Dr. Stefano Soatto. Additionally, I was a member of the LEMUR lab, where I contributed to the development of autonomous blimps.My research interests lie at the intersection of computer vision and machine learning, with a specific focus on 3D vision and sensor fusion. My work is motivated by a desire to understand human perception and develop intelligent systems that enhance human capabilities. My central focus is to create perception systems that can learn continuously and accurately interpret the 3D scene through geometry, enabling machines to perceive the world in a manner akin to human perception.When I'm not busy moving matrices and manipulating images, you can find me behind a drum set, exploring new hiking trails, or playing table tennis. I'm always up for trying new activities and expanding my horizons.
- Website:
- google.com
- Employees:
- 219238
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Software Engineer IiiGoogle Aug 2022 - PresentMountain View, California, United StatesCore contributor of Visual Inertial Odometry which powers Add Me feature on Pixel 9 and augmented reality experiences on over 1 billion Android devices through ARCore.R&D focus: SLAM and 3D vision
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Undergraduate Research Assistant, Vision LabUcla Henry Samueli School Of Engineering And Applied Science May 2021 - Jun 2022• Proposed Stereoscopic Universal Perturbations, a single set of imperceptible image perturbations generalizable across networks and datasets, that can corrupt deep stereo-matching networks. Further discovered architectural designs to improve the robustness of networks against attacks from adversarial perturbations.• Developed Monitored Distillation method to improve upon knowledge distillation for unsupervised monocular depth completion, inferring dense depth map from RGB image, intrinsics, and sparse depth map. The method achieved state-of-the-art on public unsupervised depth completion benchmarks.• Implemented triangulation in XIVO, an open-source Visual Inertial Odometry system, using C++. -
AnalystBruin Ventures Oct 2019 - Jun 2021Projects : • Performed competitive market analysis, suggested UI/UX improvements, and recommended APIs for a healthcare administration and automation startup. • Researched digital marketing and developed market entry strategies for a mid-sized event planning startup. Identified target audience and made targeted market expansion plans for each type of event. • Acted as a project leader to develop product roadmap and performed SWOT analyses for an energy efficiency startup.• Analyzed companies to form potential partnerships for a health tech startup. Determined different use cases for the company’s API suite. Developed python scripts to clean datasets. -
Undergraduate Research Assistant, Laboratory For Embedded Machines And Ubiquitous Robots (Lemur)University Of California, Los Angeles Jul 2020 - Apr 2021Los Angeles• Advised by Dr. Ankur Mehta.• Tested 433 MHz LoRa, 2.4 GHz ESP32 WIFI, BLE, and 2.4 GHz NRF24l01 modules on latency and signal strength for communication with lighter than air vehicles.• Developed communication pipeline for manual control of lighter than air vehicles using ESP8266 microcontrollers and ESP Now protocol in python and C++. • Deployed on-device random forest and fully connected neural network models for image classification on ESP32 microcontrollers using TensorFlow lite.• Implemented on-device monocular depth estimation on ESP EYE microcontroller. -
Computer Vision InternVistara - Tata Sia Airlines Ltd. Jul 2020 - Sep 2020• Explored State-of-the-Art Face Recognition architectures for face recognition as part of DigiYatra, a Government of India program. • Developed a prototype for handwritten text recognition to automate document processing using Tesseract. -
Kiosk Manager And Developer | Ucla Athletics Hall Of FameUcla Athletics Oct 2019 - Jun 2020• Provided technical support to the UCLA Athletics, Hall of Fame and maintained kiosk applications. • Actively fixed bugs, added test cases, and maintained database of student athletes using shell scripts, MySQL, and Swift. • Initiated the transition from legacy code to Swift 5.
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Software Engineering InternFuzzy Logix Jul 2019 - Aug 2019Bengaluru, Karnataka, India• Created framework to detect fraudulent transactions using graph algorithms. • Developed stored procedures in SQL to preprocess data, apply graph algorithms, and visualize the network.
Parth Agrawal Skills
Parth Agrawal Education Details
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Electrical, Electronic And Communications Engineering Technology/Technician
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High School
Frequently Asked Questions about Parth Agrawal
What company does Parth Agrawal work for?
Parth Agrawal works for Google
What is Parth Agrawal's role at the current company?
Parth Agrawal's current role is Software Engineer @ Google AR | Undergraduate Research Assistant at Vision Lab, UCLA.
What is Parth Agrawal's email address?
Parth Agrawal's email address is pa****@****gle.com
What schools did Parth Agrawal attend?
Parth Agrawal attended University Of California, Los Angeles, Apeejay School.
What skills is Parth Agrawal known for?
Parth Agrawal has skills like Leadership, Project Management, C++, Public Speaking, 3d Printing, Strategic Planning, Microsoft Office, Microsoft Excel, Microsoft Word, Microsoft Powerpoint, Javascript, Python.
Who are Parth Agrawal's colleagues?
Parth Agrawal's colleagues are Hanekám Norbert, Rebeca Mihai, Patricia King, James O'dwyer, Subhrakanta Patra, Hendrik Wuethrich, Gillian Hamilton.
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Parth Agrawal
Graduate Student Researcher At Wu Manufacturing Research Centre, University Of MichiganAnn Arbor, Mi -
Parth Agrawal
Dallas, Tx1utdallas.edu
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