Priyanshi Shah

About Priyanshi Shah

An experienced Software Engineer at Nestlé USA, where I design and scale distributed systems that power product insights, catalog accuracy, and AI-driven forecasting across the Amazon eCommerce ecosystem.With 4+ years of experience spanning software engineering, data platforms, and applied AI, I specialize in building systems that bridge data reliability, cloud automation, and business impact. My work has ranged from developing serverless microservices and ingestion APIs to deploying LLM-powered forecasting models that enhance decision-making across marketing and sales teams.At Magnamus, I engineered scalable data pipelines and microservices supporting AI agents, optimized performance across 20 TB+ workloads, and integrated real-time inference APIs serving multiple product lines. Earlier, I re-architected compliance and healthcare data workflows at MemorialCare, improving reliability, monitoring, and response times with Azure Functions and Python. I’m passionate about scaling intelligent systems that turn data into action - optimizing performance, automating decisions, and enabling teams to move faster with confidence. Let’s connect if you’re building in the intersection of software engineering, AI infrastructure, and data-driven growth or simply enjoy discussing cloud architecture, LLMs, and intelligent systems that shape the next generation of digital experiences.

Experience

1. Software Engineer, Amazon Account

   Nestlé

   Jun 2025 — Present · Seattle, WA, US

   Architected distributed microservices ensuring catalog accuracy across 470+ SKUs, increasing 19% PDP retention• Detected pricing discrepancies and 3P seller activity on Amazon using Lambda and SQL reducing Buy Box loss by 12%• Delivered telemetry ingestion of Stackline + Vendor Central for real-time sales monitoring, driving 10% YoY growth• Integrated predictive analytics LLM models into Power BI dashboards, improving 27% eCommerce forecast accuracy• Regularly balanced engineering tradeoffs (latency vs. cost, freshness vs. completeness) while working in a high-stakes retail environment tied directly to revenue

Education

• Gujarat Technological University (GTU)

  Bachelor of Engineering, Computer Engineering

• California State University, Long Beach

  Master of Science - MS, Computer Science