Ashwin Sawanth

About Ashwin Sawanth

Program & Operations professional with ~4 years of experience at Amazon, Associated with large-scale, tech-enabled initiatives across India and global markets. I played a key role in Project Johari Amazon Fresh\'s computer vision initiative, successfully deploying 900+ AI-powered devices across 30+ sites and expanding operations to North America, Australia, and Singapore.Known for translating strategic vision into actionable plans, I specialize in cross-functional collaboration, stakeholder alignment, and process optimization. I’ve driven ML model lifecycle management, operational excellence, and built SOPs, dashboards, and automation workflows that improved efficiency by over 80%.Passionate about solving complex problems, scaling systems, and delivering measurable impact, I’m now focused on program, operations, and project leadership roles where technology meets business.\"

Experience

1. Ops Lead

   Amazon

   May 2022 — Present · Bengaluru, IN

   Led operations for Project Johari — Amazon’s Automated Shelf Monitoring initiative, ensuring quality of fresh produce for online grocery deliveries; reduced quality-related issues by 30% through enhanced device accuracy.• Spearheaded installation and activation of 900+ Johari devices across 30+ More Retail and Dark stores across India, cutting average installation time by 35% via streamlined deployment processes.• Designed and led structured operational reviews on store launch with leadership and stakeholders, improving issue resolution speed by 40%.• Built and maintained dashboards tracking device uptime, failure patterns, and data anomalies — enabling quicker root cause analysis and reducing downtime by 70%.• Conducted weekly syncs with store, business and tech teams to address installation or data setbacks, driving operational excellence improvements by 80% within 5 months.• Developed and documented SOPs for installation, troubleshooting, and escalations, reducing recurring support queries by 50%.• Owned ML model training and inference lifecycle from annotations and training data creation to fine-tuning,testing, deployment, and performance monitoring, contributing to a 70% boost in model accuracy.• Engaged with the Science team regularly to review ML model performance, resolve failure cases, and improve model performance KPIs.• Led operations for international expansion of Project Johari into North America, Australia, and Singapore by overseeing installation readiness, operational setup, and early-stage support.• Drove UAT (User Acceptance Testing) with North America grocery team on model performance in NA Fulfillment centers.• Designed and developed an imaging setup for Project Johari Expiry Management (Pilot Project) an ML powered expiry detection system for fulfillment centers contributing to the long-term roadmap for predictive freshness.