Ashutosh Shinde

• Led a team of over 40 engineers, overseeing payment processing across all payment methods, risk assessments, and currency conversion.
• Implemented process improvements that reduced production bugs by 90% year-over-year.
• Developed innovative solutions that boosted the payment success rate for multi-currency transactions by 20% and improved the overall platform success rate by 2%.
• Developed high-performing engineering teams through strategic hiring, focused mentoring, and performance management initiatives.

• Order Management System (OMS) - OMS is orchestration layer & manages the order life cycle from creation to delivery of order. Lead the team of 11 engineers and was accountable for Online Grocery platform
• Fulfilment eligibility & Restrictions Systems (FUEL & FIRE) - FUEL and FIRE are site facing systems. It’s responsible to calculate the eligibility and restrictions for the items. Leading the team of 20 engineers and accountable for business and tech initiatives

• Brand Adpool- Brand adpool hosts the brand advertisement and shows the ads to relevant customers by matching advertiser & publisher parameters. Lead the team of 5 engineers and accountable for business and tech initiatives
• iDSP Demand Ingestion Platform - iDSP is self-served system for on-boarding the advertisers. Through this platform advertisers can create campaign, strategy & ad. Lead the team of 7 engineers and accountable for business and tech initiatives

Responsible for Bing Finance app automation framework, it was developed using YMTF & TuxNet frameworks

• Virtual keyboard – Developed virtual keyboard in Red Arrow platform for playing games on phone without physical keyboard.
• Background virtual machine – Only one task was allowed at a time in Red arrow platform. Modified code to allow background music player
• Thumbnail extractor tool – Developed tool to extract the thumbnails from image, video & ppt
• B2B healthcare – APIs for fetching and setting Patient, Doctor information

Log analyser – Service for scanning the customers log data. It helped to detect the issues along with its frequency