Piyush Agrawal, Product Manager in Raleigh, United States
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Piyush Agrawal

Verified Expert  in Product Management

Product Manager

Raleigh, United States
Toptal Member Since
October 7, 2019

Piyush's launched various successful mobile and SaaS products across industries like online education, retail, logistics, and eCommerce. He's built and led cross-functional teams with as many as 200 people across product, design, engineering, digital marketing, and inside sales—bootstrapping successful businesses. A graduate of Stanford University and IIT, Piyush has been recognized by organizations like MIT Review, Microsoft, and Deloitte.

Project Highlights

Android-based Fully Automated Lecture Capture Solution
Built the world's smallest and most cost-effective, automated lecture capture solution—scaling to hundreds of classrooms.
Mobile App for Students to Watch Live and On-demand Video Lectures
Built India's most popular mobile app for exam preparation and is used by more than 1 million students.
Inventory Management and Point-of-Sale App for an eCommerce/Omnichannel Retailer
Conceptualized and led the design and development of a mobile-based point-of-sale and inventory management system for an omnichannel retailer based in Singapore with multiple web storefronts and retail outlets.


Work Experience

Data and Product Growth Consultant

2020 - PRESENT
  • Designed and ran A/B tests/experiments to launch a product feature that reduced unintentional exposure to explicit content for 300+ million monthly active users on Reddit's website and mobile apps. This led to an 18% growth in weekly retention.
  • Captured and analyzed events data around Reddit's search feature to diagnose the reasons for a drop in the conversion funnel. Implemented safe search features, which led to a 12% growth in successful searches and significant feature adoption.
  • Identified and operationalized metrics for prioritizing the product roadmap and benchmarking progress against product growth goals.
  • Started a new initiative to reduce the prevalence of NSFW (not safe for work) content on Reddit and act on potentially harmful content as soon as it gets posted.

Chief Product Officer

2020 - 2021
  • Launched the new generation of RightShip's proprietary Safety Score model, which drove the growth of its core data platform among several Fortune 500 clients.
  • Built a dedicated product for commercial ship owners and operators to provide first-party data about their vessels to RightShip, thereby driving the growth of RightShip's core data platform among the charterers.
  • Launched the Maritime Emissions Portal to drive product growth among port operators, providing them with a better and more accurate understanding of ship-based emissions to identify opportunities to reduce it and meet environmental targets.
  • Built and nurtured a team of 15+ product managers, UI/UX experts, QAs, and engineers across Singapore, Australia, and the UK.
  • Established RightShip's global innovation hub while leading a team of data scientists, machine learning experts, and maritime professionals.

Chief Product Officer

2019 - 2020
  • Served as the first member of the product team at Janio and built a team that consisted of three product managers, two UI/UX designers, and one QA engineer in three months.
  • Introduced several product management best practices—OKRs, product road mapping, NPS measurement, customer feedback mechanisms, Agile product development, and more—within the organization as it grew from 30 people to 120 in less than ten months.
  • Built several integrations and partnerships with some of the largest eCommerce platforms and brands in South East Asia, including Bukalapak, Blibli, Australian Gallery, Zilingo, Under Armour, and more.
  • Researched the market and competition for freight forwarders in South East Asia; identified an opportunity to build a digital platform connecting the unorganized players while standardizing their operations and making the supply chain efficient.
  • Led product and engineering for the new digital freight forwarding platform to be launched in South East Asia.

Head of Product

2018 - 2018
  • Researched the market for warehouse and fulfillment center automation solutions and identified several product-and-business opportunities for Rivigo to capitalize on.
  • Led the conceptualization, development, and launch of a mobile app-based workflow-optimization product that improved the efficiency of 1,000+ associates working in 50+ distribution centers across India by more than 25%.
  • Conceptualized a product for fuel refilling optimization for a fleet of more than 4,000 trucks by leveraging real-time fuel pricing information across various cities.
  • Kickstarted the transition of Rivigo's biggest innovation (Relay Trucking) from a type of proprietary in-house technology to a stand-alone revenue-generating SaaS product.

Co-founder | Head of Product

2010 - 2018
  • Founded SuperProfs with the vision of connecting India's top professors for professional exams with millions of students and professionals.
  • Launched several successful products, including a native mobile learning app used by 1.5+ million monthly active users, used by professors to manage the classrooms, and an AI/computer vision powered fully automated lecture capturing system.
  • Grew the business to $1+ million ARR, 500+ top professors, 1,000+ online courses, and 60 minutes/day user engagement through several product-led initiatives (including programmatic SEO, fully automated omnichannel engagement campaigns, referral loops, and more).
  • Built and led a team of 25 developers, three product managers, two QAs, one UI/UX expert, 100 inside sales and operations executives, and five digital marketers.
  • Developed the core technology to make streaming HD-quality videos possible at extremely low internet speeds (100 Kbps) and built a recurring subscription-based SaaS product for training and education institutes.
  • Bootstrapped the business without external funding to about $200,000 in revenue, later raising an angel round of funding from the Indian Angel Network.
  • Enabled about 50 top education and training institutes to expand their reach to more than 100,000 remote students and generating more than $8 million in additional revenues.

Project Lead | Research Associate

2008 - 2010
Stanford University
  • Researched the market and competition to develop a business plan for a lecture capture system at Stanford University.
  • Interviewed users and customers to generate user stories, product designs, and specifications and led a team of developers to launch the MVP.
  • Designed the world's first SaaS-based solution for viewing ultra-high-resolution videos with interactive features like pan/tilt/zoom (similar to Google Maps) on low-bandwidth networks.
  • Bootstrapped the ClassX project which became a key part of Stanford University's lecture capture solution.
  • Published several technical papers and reports jointly with other team members.

Research Intern

2007 - 2007
  • Developed an RFID-based enterprise intelligence system that enabled automated identification of people, objects and their mutual relationship.
  • Filed a joint patent with Microsoft.
  • Used technologies including C#, BizTalk RFID, Microsoft SQL Server, and Visual Studio .NET.

Research Intern

2006 - 2006
Deutsche Telekom (T-Mobile)
  • Developed a machine learning-based technique for the optimized simultaneous usage of multiple access networks (wired, cellular, and WiFi) for transmission of multimedia streams.
  • Built a system to show significant performance improvement over traditional approaches.
  • Used technologies including C++, Perl, Python, TCL, and network simulator (NS-2).

Engineering Intern

2005 - 2005
Yahoo, Inc.
  • Proposed and implemented a new unsupervised learning algorithm (based on clustering) to automatically extract structured information (like prices, reviews, specifications, and more) from unstructured HTML data (from shopping/eCommerce websites).
  • Improved operational efficiency by 98% over the traditional approaches.
  • Used various technologies including C++, PHP, Perl, machine learning, and data mining techniques.

Android-based Fully Automated Lecture Capture Solution


Built the world's smallest and most cost-effective, automated lecture capture solution—scaling to hundreds of classrooms.

As part of SuperProfs, a key challenge was digitizing the classroom content of our partner professors. We initially asked the professors to record their lectures at our state-of-the-art recording studios, but it became clear that this wouldn't work. It's an asset-heavy model, and it wouldn't scale as we grew.

We needed an extremely easy-to-use, fully automated lecture capturing solution that worked with the existing infrastructure of Indian classrooms. Indian classrooms are often plagued by poor internet connectivity, a lack of a consistent power supply, a lack of trained A/V technicians, and more. I came up with the idea of using off-the-shelf Android phones with high-resolution cameras for lecture recording.

With a team of four engineers and a designer, we built an Android app and a cloud-based admin system that could automatically start/stop the lecture recording on remote Android devices. We also implemented the capability to track the professor in the classroom as they moved around using computer vision and face recognition techniques.

This model enabled us to scale to hundreds of classrooms in an extremely cost-effective, yet robust manner—becoming a key selling point of SuperProfs platform for professors in India.

Mobile App for Students to Watch Live and On-demand Video Lectures


Built India's most popular mobile app for exam preparation and is used by more than 1 million students.

Millions of students in India prepare for various competitive exams every year. However, the availability of good and experienced teachers is limited to a few metro cities and hence the majority of the students in tier 2/3 cities and towns are not able to have access to good quality education.

As part of this project, I led the design and development of a mobile application which gave students the ability to do the following:
1. Subscribe to live as well as on-demand classes taught by India's best professors with a monthly subscription model
2. View the lectures offline (even without an active internet connection) while ensuring 100% protection against illegal downloads/piracy
3. Participate in live webinars by professors to clarify concepts and ask questions

The mobile app was downloaded by more than 1 million users and became one of the leading sources of exam preparation in India, attracting more than $3 million in institutional funding and extensive media coverage.

Design and Implementation of a Peer-to-peer File Distribution System

Designed and implemented a system that reduced the traffic load on internet links by 65%.

Tasks Accomplished
• Designed and implemented a real-time multicast-based system (inspired by the BitTorrent protocol) which reduced the download time of internet files by 44% and reduced the traffic load on internet links by 65%.
• Led a team of two undergraduate students who worked with me in the implementation phase of the system for about a year.
• Won the Cadence Gold Medal award from IIT Kanpur based on the impact of this project.

Design and Implementation of a Video-streaming Protocol for Heterogeneous Networks


Built a video-streaming system that reduced packet loss by 45% and which won the ACM Multimedia award in Germany.

Tasks Accomplished
• Designed and implemented a video streaming protocol for wireless networks which reduced packet loss by 45% and improved received video quality by 2-10 decibels in PSNR.
• Presented this work at the ACM Multimedia conference in Germany and won the Best Student Paper Award.

SixthSense | RFID-based Enterprise Intelligence System at Microsoft


Led the product design and implementation of a US patent winning enterprise intelligence system at Microsoft.

I led the product design and implementation of SixthSense, an RFID-based enterprise intelligence system at Microsoft.

This system combined mobility information obtained from RFID-based sensing with information from enterprise systems such as calendar and presence to automatically draw inferences about the association and interaction amongst people, objects, and workspaces. For instance, SixthSense was able to automatically distinguish between people and objects, learn the identities of people, and infer the ownership of objects by people.

Inventory Management and Point-of-Sale App for an eCommerce/Omnichannel Retailer

Conceptualized and led the design and development of a mobile-based point-of-sale and inventory management system for an omnichannel retailer based in Singapore with multiple web storefronts and retail outlets.

The client is a leading fast-fashion brand based in Singapore with multiple physical outlets in South East Asia and a thriving online eCommerce store. Given the distributed nature of the client's business, the client needed a cloud-based system to manage its inventory and route orders to specific fulfillment facilities. It also required a mobile app for its store associates to quickly check the inventory for particular items and enable instant purchases for walk-in customers from the mobile app.

I led the design and development of the mobile app and a cloud-based back-end system to launch the product within three months. The app enabled the client to reduce its cost of order fulfillment by three times while improving customer satisfaction due to the increased availability of catalog items across stores.
2008 - 2010

Master's Degree in Electrical Engineering

Stanford University - Stanford, CA, USA

2007 - 2008

Master's Degree in Computer Science

Indian Institute of Technology (IIT) Kanpur - Kanpur, India

2003 - 2007

Bachelor's Degree in Computer Science

Indian Institute of Technology (IIT) Kanpur - Kanpur, India

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