Vedant Mapare

About Vedant Mapare

I’m an AI Backend Engineer with 4+ years of experience building scalable, production-grade systems across AI, SaaS, and distributed platforms.Currently at Uber, I design and deploy LLM-powered applications using FastAPI, LangChain, and OpenAI APIs. My work focuses on retrieval-augmented generation (RAG) systems that process 3K+ daily support workflows, grounded on 150K+ policy documents. I’ve built high-throughput ingestion pipelines handling 18M+ tokens/day, improved response quality by reducing hallucinations, and optimized inference systems to reduce latency and operational costs.I specialize in developing backend systems that are reliable, scalable, and production-ready. My experience includes building event-driven architectures using Kafka, designing multi-tenant microservices with Java and Spring Boot, and optimizing database performance with PostgreSQL and Aurora. I enjoy solving problems around distributed systems, real-time processing, and AI system reliability.Beyond building systems, I focus on observability and continuous improvement—leveraging monitoring and evaluation pipelines to detect model drift, improve system performance, and ensure consistent output quality in production environments.

Experience

1. Software Engineer

   Walmart

   Jun 2024 — Present · US

   Engineered a resilient e-commerce platform using Spring Boot and PostgreSQL, managing 1.2M+ daily transactions with 99.99% uptime and reducing system failures by 20%.• Orchestrated RESTful API delivery using AWS Lambda and S3, improving response time by 25% and supporting 600K+ concurrent users.• Constructed CI/CD pipelines with Jenkins, Docker, and Kubernetes, decreasing deployment cycles by 35% and achieving zero-downtime releases for 15+ microservices.• Crafted React-based UIs, increasing customer engagement by 30% through real-time features and user-centric design.• Optimized API performance using Redis caching, cutting latency by 40% during peak demand for product queries.• Configured auto-scaling groups with DevOps teams, maintaining 99.98% availability during 500 % traffic surges.• Enforced TDD practices and rigorous code reviews, reducing bugs by 25% and enhancing team wide code quality.

Education

• Syracuse University

  Master of Science - MS

• University of Mumbai

  Bachelor's degree