Backend-focused Full-Stack Engineer building realtime systems, backend infrastructure, and AI-powered SaaS applications with TypeScript, Node.js, PostgreSQL, Redis, and Next.js.
Over the past few years I've built and shipped 20+ software projects, gradually moving from full-stack CRUD applications toward realtime collaboration, backend infrastructure, distributed workflows, and production-inspired system design.
📍 India | 💼 Open to Backend Engineer, Software Engineer, and Full-Stack Engineer roles · Remote / Bangalore / Hyderabad
Continuously searches job boards, scores listings against your resume using Groq AI, and delivers the strongest matches directly to WhatsApp.
Engineering Highlights
- Background job processing with QStash and Redis-backed scheduling
- AI-powered resume-to-job scoring (Groq / llama-3.1)
- Arcjet API protection and rate limiting
- Solved production issues: malformed AI responses, GitHub secret exposure, credential rotation, WhatsApp delivery limits
Multi-tenant workspace where every mutation is validated, authorized, persisted to PostgreSQL, and propagated across connected clients over WebSockets.
Engineering Highlights
- Multi-tenant architecture with workspace invitations and role-based permissions
- Server Actions coordinate validation and persistence before realtime delivery
- WebSocket synchronization with automatic polling fallback
- Persistence, authorization, and event broadcasting in separate backend layers
API gateway implementing distributed sliding-window rate limiting for authenticated clients, containerized with Docker Compose.
Engineering Highlights
- Sliding-window algorithm with Redis atomic operations and key expiration
- JWT authentication enforced before rate limiting
- Independent middleware layers for auth, validation, and throttling
- Prometheus metrics and structured logging with Pino
AI voice companion SaaS with secure multi-tenant data isolation, realtime voice sessions, and subscription management.
Engineering Highlights
- PostgreSQL schema protected with Row Level Security (RLS) for strict tenant isolation
- Clerk authentication covering the full user lifecycle
- Vapi realtime voice streaming integrated with conversation persistence
- Relational data model for users, companions, conversations, and subscriptions
- Backend Engineering interview preparation
- Data Structures & Algorithms
- System Design fundamentals
- Distributed systems
- Docker & Kubernetes
- Observability and CI/CD with GitHub Actions
I enjoy building backend systems where correctness, authorization, realtime communication, and maintainability matter more than simply adding another framework.