Software Engineer. Builder. Problem Solver.
I'm Arjun Reddy, a software engineer with 8+ years of experience building and maintaining enterprise applications. My work spans backend engineering, frontend development, database optimization, automation, and application architecture. I also explore modern web technologies, AI-powered applications, self-hosted infrastructure, and independent software products.
Creator & Lead Architect
An enterprise database access gateway with fail-closed auditing, granular object permissions, in-flight data masking, and multi-engine SQL support.
Senior / Lead Backend Engineer
Architecting a high-throughput, configurable reporting pipeline for complex multi-worksheet Excel exports and asynchronous background execution.
Senior Backend & Database Engineer
Diagnosing execution plans, resolving severe table scan bottlenecks, and redesigning indexing strategies for high-volume relational tables.
Leading backend architecture, system reliability, and engineering standards across enterprise platforms.
Guided technical design, code quality standards, and system modernization for enterprise applications.
Built high-throughput backend APIs, background job processors, and optimized database performance.
Built full-stack web applications, backend APIs, and end-to-end automated test suites.
Designing resilient, scalable APIs, scheduled workers, and secure data access pipelines.
High-performance Minimal APIs • Distributed Tracing with OpenTelemetry
Delivering responsive, accessible, and reactive user experiences with clean state management.
Next.js App Router • React Server Components • Micro-frontend architectures
Modeling relational schemas, optimizing slow queries, and managing governed access.
pgvector & semantic search • Database Sharding & Read Replicas
Building automated safety nets and workflows so production systems never regress.
Chaos engineering testing • Contract testing with Pact
Containerizing services and configuring reproducible deployment and local environments.
Self-hosted homelab monitoring • Kubernetes cluster operations
Building developer tools and integrating AI agents into practical engineering workflows.
RAG with grounded citations • LLM Structured Tool Calling • Local model inference
Open to backend and database engineering, technical roles, and independent software collaboration.