Harsh Agarwal Email & Phone Number
@moveinsync.com
LinkedIn matched
Who is Harsh Agarwal? Overview
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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.
Email format at Wayfair
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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.
Harsh Agarwal's current company
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Harsh Agarwal work experience
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Machine Learning / Software Engineer 1: Recs And Personalization (Product/Content Personalization)
CurrentProduct 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.)
Course Assistant - Cs 425 / Ece 428
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
Software Engineer Intern
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.
Software Engineering Intern
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.
Software Engineer Intern
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/)
Mobile Application Developer
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.
Mobile Application Developer
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.
Python Course Assistant
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.
Dev Ops Engineering Assistant
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
Course Assistant
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
Co-Founder
Co founded an organisation that primarily focuses on bringing about an environmental change through the process of composting
Project Head
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
Colleagues at Wayfair
Other employees you can reach at wayfair.com. View company contacts for 12209 employees →
Martin Shaw
Colleague at WayfairBangor, Maine, United States
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HR
Helen Rosenthal
Colleague at WayfairBrookline, Massachusetts, United States
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Megan White
Colleague at WayfairGreater Boston, United States
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WY
Wilfred Yimbo
Colleague at WayfairLeicester, England, United Kingdom
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Ana Stanley
Colleague at WayfairBarrie, Ontario, Canada
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MS
Meghan Schernik
Colleague at WayfairSomerville, Texas, United States
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MC
Matthew Cisto
Colleague at WayfairWrentham, Massachusetts, United States
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JG
Juan Guerrero
Colleague at WayfairNew York City Metropolitan Area, United States
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Brianna Cardiel
Colleague at WayfairGreater Houston, United States
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Samudrika Sawant
Colleague at WayfairDallas-Fort Worth Metroplex, United States
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Harsh Agarwal education
Bachelor Of Science - Bs, Computer Science, 4.0 Gpa
Artificial Intelligence
High School Diploma, Icse - 96%, Isc - 95%
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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