• Created a spot buying platform to specific problems of contract manufactures and scaled it in 6 months• Created a supplier partnership program, and on-boarded many suppliers from India and China organically by offering an efficient bidding platform, and credit checks of customers• Ran targeted campaigns and referral programs to generate demand from over 14 countries• Created internal OMS for reducing delivery TAT which also resulted in constant repeat business• Discovered specific APIs from user data to create a personalized catalogue for each manufacturer

• Built the internal CRM/SRM• Built internal cataloging tool to help build largest healthcare products' catalog in India• Created a dynamic pricing engine which increased margins and conversions• Hired and managed a team of product managers, a team lead and developers

• Onboarded India’s biggest retail houses like and acquired more floors by creating brand-specific offerings, insights, and dashboards• Worked with the engineering team to create brand-specific dashboards that deliver multifold ROCE to clients on Marketing, Merchandising and sales expenses• Discovered new target markets with primary market research and positioned the product for clearly visible ROI to partners and buyers. This resulted in our major sales growth coming from channel partners• Provided clarity and data driven market insights to company leadership which would otherwise be invisible. This helped in survival during covid

• Served semi-organized local retailers by helping them discover consumer insights in their stores• Received honorary incubation at IIT Gandhinagar. And hired 5 IIT students to build the product• Finalist of Boeing Startup Challenge 2019• Deployed MVP in well-known local retail chain and completed successful pilot

Sold digital services to overseas small businesses.

I help startups,small businesses and individuals in understanding and integrating machine learning into their products and services.

Made a nudity detection model and deployed in production

Developed a DAPP that ran ml models on normal browser and saved models weights and graph on blockchain. This way they could train good models on user data without compromising privacy and security of users data.