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Manali Shetye

Mid-level Software Engineer specializing in AI platforms and enterprise full-stack systems

Trend MicroUniversity of Texas at ArlingtonFremont, CA5 Years ExperienceMid LevelWorks On-Site

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About

Full-stack product engineer who has built both operational systems and enterprise AI copilots in production. They owned an AI-powered inventory platform end-to-end, driving a 45% drop in stock issues, and also shipped a Microsoft Teams-based HR/IT copilot using RAG and workflow automation that reduced repetitive support queries by roughly 30%.

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Key Strengths

  • Owned full-stack products end-to-end from zero to production
  • Built AI-powered inventory system with 45% reduction in stock outages/misplacement over six months
  • Strong React/TypeScript + backend infrastructure breadth
  • Designed reliable event-ledger architecture for auditability and concurrency handling
  • Built offline-capable mobile-friendly workflows for real-world low-connectivity environments
  • Shipped enterprise AI agent integrated with Teams, Power Automate, Graph API, and Intune
  • Grounded AI responses with RAG over approved internal documents
  • Evaluated AI systems with intent accuracy, retrieval relevance, workflow success, and user feedback loops
  • Turned complex AI/automation into intuitive experiences for non-technical users
  • Reduced repetitive HR/IT queries by about 30% through copilot deployment
  • Strong zero-to-one execution in ambiguous environments with stakeholder discovery and MVP scoping
  • Cross-functional collaboration with HR, IT, product, design, and leadership

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Experience

Software Engineer - AITrend Micro · Aug 2025 – Present
Software EngineerTCS · Apr 2022 – Dec 2023
Software EngineerHDFC Bank · Jul 2019 – Mar 2022

Education

University of Texas at Arlingtonmaster, Applied Statistics and Data Science
COEP Technological Universitybachelor, Information Technology

Languages

English

Certifications

AWS Certified Cloud PractitionerMicrosoft Azure Fundamentals (AZ-900)

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Typically responds within 24 hours

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Manali ShetyeMid-level Software Engineer specializing in AI platforms and enterprise full-stack systems