• 🏢 Associate Systems Engineer @ AutoZone, building infrastructure for enterprise conversational AI, with a focus on human-in-the-loop workflows, multi-agent systems, MCP, and AI observability.
• ⚡ Build backend systems that balance scale, reliability, and latency — from event-driven task orchestration supporting 10K+ concurrent sessions to distributed caching that reduced database API calls by 50%.
• 🛠️ Focused on backend engineering, distributed systems, and applied AI — Java, Spring Boot, Kafka, Redis, GCP, MCP, OpenTelemetry, and Dynatrace.
• 🧠 Competitive programming enthusiast with 1100+ DSA problems solved, LeetCode Knight (1910+), Codeforces Specialist (1520), and CodeChef 3★ (1624).
• 📫 LinkedIn · GitHub · karanupd12@gmail.com

AutoZone — Associate Systems Engineer · Aug 2026 – Present
Building infrastructure for AutoZone's enterprise conversational AI platform, with a focus on event-driven Human-in-the-Loop orchestration and distributed backend systems. Architected a Java 17 / Spring Boot 4 / Kafka workflow supporting 10K+ concurrent sessions across 8 business domains, while Redis-backed caching and transactional state management reduced database API calls by 50%. Built observability across 12+ agent workflows using OpenTelemetry and Dynatrace, reducing MTTR from 5 minutes to 10 seconds and improving AI compute efficiency by 50%.

AutoZone — Software Engineer Intern · Feb 2026 – Jul 2026
Engineered 30+ secure multi-tenant APIs and Spring AI tool-calling workflows powering conversational AI, using Spring Security, OAuth2, LDAP, and RBAC to enforce enterprise access controls while maintaining sub-2s agent response latency. Built a centralized audit trail covering 100% of task lifecycle transitions, and containerized 6 microservices with Docker Compose, reducing local development onboarding time by 70%. Contributed to production scalability through GCP Pub/Sub, Cloud SQL, and MongoDB.

💰 SpendWise Full-stack expense management platform designed around a secure Spring Boot backend, with JWT authentication, RBAC, search/filtering, and persistent financial data management. Automated reporting and CI/CD reduced manual reporting effort by 50% and accelerated financial insight delivery by 3x. Java · Spring Boot · JPA · MySQL · React · Docker · JWT ✉️ Mail Minter AI-powered email assistant built with Spring AI and Google Gemini that analyzes conversation context and intent to generate tone-adjustable replies in under 2 seconds, reducing email composition time by 85%. A Chrome Extension integrates directly with Gmail to bring AI assistance into the existing workflow. Java · Spring Boot · Spring AI · Gemini · Chrome Extension More on Repositories → 🧰 Tech Stack Languages Distributed Systems & Databases Frameworks, DevOps & Tools Competitive Programming 1100+ DSA problems solved · Top 4% on LeetCode Achievements LeetCode Knight — 1910+ rating, Top 4% globally Codeforces Specialist — 1520 rating CodeChef 3-Star — 1624 rating LeetCode Weekly Contest — Global Rank 386 and 608 CodeChef — Global ranks 111, 166, 323 in Div 3 and 329 in Div 2 Top 7 — Vihaan Hackathon (DTU) — Led a team of 4 to build a B2C e-commerce platform in 24 hours Amazon HackOn 5.0 — Qualified for Round 3; Top 1,500 among 54,000+ participants GitHub Let's Connect Building backend systems, distributed infrastructure, and practical AI applications. LinkedIn · GitHub · Email