Harsh Agarwal
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Harsh Agarwal Email & Phone Number

Applied ML Scientist: Ads Bidding and optimization at Wayfair
Location: Mountain View, California, United States 13 work roles 3 schools
1 work email found @moveinsync.com LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 86%

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Current company
Role
Applied ML Scientist: Ads Bidding and optimization
Location
Mountain View, California, United States
Company size

Who is Harsh Agarwal? Overview

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Quick answer

Harsh Agarwal is listed as Applied ML Scientist: Ads Bidding and optimization at Wayfair, a with 12209 employees, based in Mountain View, California, United States. AeroLeads shows a work email signal at moveinsync.com and a matched LinkedIn profile for Harsh Agarwal.

Harsh Agarwal previously worked as Machine Learning / Software Engineer 1: Recs and Personalization (Product/Content Personalization) at Wayfair and Course Assistant - CS 425 / ECE 428 at University Of Illinois Urbana-Champaign. Harsh Agarwal holds Bachelor Of Science - Bs, Computer Science, 4.0 Gpa from University Of Illinois Urbana-Champaign.

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Email format at Wayfair

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{first}@moveinsync.com
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Profile bio

About Harsh Agarwal

ML Engineer at Wayfair, building and deploying large scale models that drive Product and Content Personalization for over 33M active customers. Previously experienced in developing deep learning models and working closely with distributed systems and low-latency systems. Also has substantial experience in advanced computer architecture and High Performance Computing (HPC) with projects demonstrating the critical knowledge required for industrial success.

Current workplace

Harsh Agarwal's current company

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Wayfair
Wayfair
Applied ML Scientist: Ads Bidding and optimization
Mountain View, CA, US
Website
Employees
12209
AeroLeads page
13 roles

Harsh Agarwal work experience

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

Applied Ml Scientist: Ads Bidding And Optimization

Mountain View, Ca, Us

Machine Learning / Software Engineer 1: Recs And Personalization (Product/Content Personalization)

Current

Mountain View, California, United States

Product and Content Personalization teams - building large scale applications and services (Java, SpringBoot, Apollo Federation GQL, Kubernetes, GCS, Python) to deploy state of the art ML models (Deep Neural Network, Gradient Boosting Decision Trees, Transformer Network, LLMs) to power recommendations and provide personalized experiences to end users (~33M) at various touch points (homepage, marketing/targeted emails, PDP, carousels, etc.)

Jul 2024 - Present

Course Assistant - Cs 425 / Ece 428

Champaign, Illinois, United States

Course Assistant for CS 425 / ECE 428 - Distributed Systems. Hold substantial knowledge in the following domains (but not limited to) - Fault Tolerance, Failure Detection, Map Reduce, Stream Processing (Spark processing), Consensus (Paxos and Raft), Leader Election, Remote Procedural Call (RPC) Marshalling and Concurrency Control, P2P systems (eg: Chord (Distributed Hash Table), Pastry, Gnutella, Kelips, Knapster, BitTorrent), Key Value stores/NoSQL(CassandraDB, Bloom Filters), Multicast Communication, Mutual Election, Distributed File system

Jan 2024 - Jul 2024

Software Engineer Intern

Boston, Massachusetts, United States

Engaged in a wide array of frontend and backend tasks, with a pivotal focus on modernizing Wayfair's logistics infrastructure by transitioning away from the legacy CastleGate Forwarding framework - NaviOS. This proprietary system facilitated seamless logistics operations, spanning from global factories to end customers across North America and Europe. Leveraged SQLAlchemy in a consumable format by defining database models as classes which were used to build GraphQL mutations and queries to facilitate efficient data retrieval and manipulation. Engineered input components using ReactJS that interacted with these GraphQL mutations, ensuring a responsive user interface while maintaining data consistency and integrity standards.

Jun 2023 - Aug 2023

Software Engineering Intern

Chicago, Illinois, United States

Developed a metrics page for internal use at John Deere Financial using ReactJS, NodeJS, and PostgreSQL.Performing Natural Language Processing, using Python libraries, to filter incident descriptions, on the internal metrics page, through a search engine.

Aug 2022 - Jun 2023

Software Engineer Intern

Bengaluru, Karnataka, India

Used SpringBoot based Java Applications to parse and store incoming data from the client side and fix critical issues on the backendCreated an Address Approval Dashboard for about 30 companies through API’s and Azure SCIM by writing microservices in SpringBoot. Hosted these microservices on Docker Collaborated with senior software engineers to work on a project that caters to the hybrids workspace needs of employees. (https://www.workinsync.io/)

May 2022 - Aug 2022

Mobile Application Developer

Skillcon

Champaign, Illinois, United States

Collaborated with a team of undergraduate students to create an IOS application that efficiently connects students with complementary skills to form agile teams towards a common goal. Worked closely with mentors in order to create an app which enables freelance developers to join open-source projects using an interface similar to Tinder.

Jan 2022 - Jun 2022

Mobile Application Developer

Champaign, Illinois, United States

1. Developed an android application that allows students to browse Computer Science courses offered by the university and rate the professors.2. Developed an IOS application that allows people to plan their travel by allowing them to search for flights, destinations, and hotels along with generating an itinerary based on their places of interest 3. Developed a web application, typically for the students of UIUC, that provides an implementation of a Tinder-like app in which: - prospective hosts can submit party proposals to everyone on the app, complete with tags (e.g.Diwali party, game night, rager) - prospective attendees can swipe left or right on submitted party proposals to indicate their attendance.4. Formulated a mobile application for android operating systems which allows users to efficiently manage their refrigerators by identifying items present in the fridge. It helps users keep a current count on the quantity of items and also notifies the user when they need to restock an item. The app also provides recipes that one can follow with the items available in the refrigerator at that instant.

Jan 2021 - Jun 2022

Python Course Assistant

Math 257

University Of Illinois At Urbana-Champaign

Assisted students (over 200) in computational Python lab sections(Numpy), and hosted office hours for Python, NumPy and concepts related to Linear Algebra. Tested course projects and assignments before their release.

Jan 2022 - May 2022

Dev Ops Engineering Assistant

Illixr

Champaign County, Illinois, United States

Contributed to ILLIXR – the first fully open-sourced Extended Reality (XR) system and testbed Set up Continuous Integration/Development framework on Jenkins to onboard and support ILLIXR onto Jenkins CI/CD pipeline.Performed Advanced Graphical Testing on ILLIXR using Qemu and Virgl

Jan 2022 - May 2022

Course Assistant

Cs124

University Of Illinois

Developed assignments, labs, exam questions, and test suites in Java and Kotlin Hosted office hours to help students learn Java and Kotlin, programming, and general computer science concepts Tested/solved student assignments before its official release

Aug 2021 - Dec 2021

Co-Founder

Kolkata, West Bengal, India

Co founded an organisation that primarily focuses on bringing about an environmental change through the process of composting

Jan 2018 - Jan 2021

Project Head

Kolkata, West Bengal, India

1. Co-founder of ‘Tech Key,’ the student-run ‘Technology Enthusiasts Club’ and growing it to a 50 member strong club2. In-charge of all the marketing efforts for the club, including building the Instagram page, making creatives and brochures, and viral promotions3. Worked on bringing in speakers and guests for speaker events in the club and created modules for the learning events of the club4. Handled operations of the club, which included the interview and selection of core committee members and convening the inaugural meeting of the club5, Facilitated succession planning through the development of a prospectus for Tech Key and planned future club events

Aug 2020 - Oct 2020
Team & coworkers

Colleagues at Wayfair

Other employees you can reach at wayfair.com. View company contacts for 12209 employees →

3 education records

Harsh Agarwal education

Artificial Intelligence

Professional development course to develop fine grained knowledge of advanced deep learning techniques and the structure, function.

FAQ

Frequently asked questions about Harsh Agarwal

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

What company does Harsh Agarwal work for?

Harsh Agarwal works for Wayfair.

What is Harsh Agarwal's role at Wayfair?

Harsh Agarwal is listed as Applied ML Scientist: Ads Bidding and optimization at Wayfair.

What is Harsh Agarwal's email address?

AeroLeads has found 1 work email signal at @moveinsync.com for Harsh Agarwal at Wayfair.

Where is Harsh Agarwal based?

Harsh Agarwal is based in Mountain View, California, United States while working with Wayfair.

What companies has Harsh Agarwal worked for?

Harsh Agarwal has worked for Wayfair, University Of Illinois Urbana-Champaign, John Deere, Workinsync, and Skillcon.

Who are Harsh Agarwal's colleagues at Wayfair?

Harsh Agarwal's colleagues at Wayfair include Martin Shaw, Helen Rosenthal, Megan White, Wilfred Yimbo, and Ana Stanley.

How can I contact Harsh Agarwal?

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

What schools did Harsh Agarwal attend?

Harsh Agarwal holds Bachelor Of Science - Bs, Computer Science, 4.0 Gpa from University Of Illinois Urbana-Champaign.

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