karanupadhyay

Software Engineer Intern

I am a 2026 fresh graduate (B.Tech Information Technology) with hands-on experience building scalable backend systems using Java, Spring Boot, distributed architectures, and AI-powered applications. Through internships at AutoZone and Bluestock, I have worked on REST APIs, event-driven systems with Kafka and Redis, authentication and security, cloud infrastructure, and performance optimization in production environments.

Beyond internships, I enjoy building products from scratch and have developed full-stack applications ranging from expense management platforms to AI-powered productivity tools. I also have a strong foundation in data structures and algorithms, with a 1900+ LeetCode rating and 500+ problems solved across coding platforms.

I am currently seeking entry-level Software Engineer (SDE-1/SWE-1/Associate Developer) or Backend Engineer opportunities where I can contribute to building reliable products, scalable systems, and meaningful user experiences. I am open to both fast-growing startups and established technology companies, and I am particularly excited about roles that offer strong engineering challenges, ownership, and opportunities to learn and grow.

Experiece: 6 months

Yearly salary: $88,000

Hourly rate: $35

Nationality: 🇮🇳 India

Residency: 🇮🇳 India

Experience

Software Engineer Intern

AutoZone

2026 - 2026

• Eliminated 100% of auth-related production incidents by designing and securing 30+ REST APIs with Spring Security, JWT, OAuth2, and LDAP-based RBAC, enforcing multi-tenant isolation and role-based authorization across distributed Java/Spring Boot backend services. • Achieved sub-2s human-agent response latency across 200+ concurrent sessions by architecting async event-driven pipelines with Apache Kafka and Redis for agent state recovery and real-time task streaming via WebSockets. • Reduced mean production diagnosis time by 3x by implementing centralized observability with Log4j structured audit logging, capturing 100% of task lifecycle transitions and eliminating all orphaned task incidents across HITL agent workflows. • Enabled natural-language task automation at sub-2s inference latency by integrating Spring AI with Google Vertex AI Gemini for real-time contextual AI agent orchestration and workflow automation across 150+ concurrent agentic chat sessions.

Software Development Engineer Intern

Bluestock Fintech

2025 - 2025

• Cut P99data retrieval latency by 30% and API payload sizes by 25% by refactoring 15+ high-traffic SQL queries using composite indexing, optimized joins, and cursor-based pagination across critical backend endpoints. • Improved BI dashboard rendering latency by 15% across 8+ interactive dashboards by engineering React.js components with D3.js data visualizations, ensuring cross-device UI consistency. • Eliminated credential sprawl by integrating Ping Identity SSO across distributed microservices and CI/CD pipelines, centralizing identity management with enterprise RBAC enforcement.

Skills

backend

blockchain

docker

golang

kubernetes

nextjs

node

nosql

postgres

react

redis

security

smart-contract

sql

typescript

java

english

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