Building reliable backend systems with a product-first mindset.
I design and build backend systems — APIs, distributed architectures, real-time infrastructure, and AI-integrated backends. My focus is on writing systems that are reliable, scalable, and production-ready, not just demos.
Currently a Computer Engineering student at LDRP Institute of Technology & Research (2023–2027), focused on backend engineering, system design, and practical AI integrations.
Backend & Architecture
Node.js · Express.js · Next.js (API routes + server) · REST APIs · WebSockets
Microservices · System Design · Distributed Systems
Databases & Storage
MongoDB · PostgreSQL · MySQL · Firebase · Supabase · Convex · Redis
AI & Integration
LLM API Integration (Gemini, Claude) · RAG Pipelines · LangChain · Python
Languages
TypeScript · JavaScript · Python · Dart (Flutter – past experience)
Tools
Git · GitHub · Docker · Vercel · AWS (EC2, S3, Lambda, IAM, VPC)
- 🔨 Building backend systems with clean APIs, auth flows, and scalable architecture
- 📐 Going deeper into system design and distributed systems
- 🤖 Exploring AI infrastructure — how to architect backends that serve LLM-powered features at scale
- 🎯 Open to backend engineer and system design roles (On-site · Hybrid · Remote)
If you're building something that needs a solid backend, or you just want to talk about system design and AI infrastructure — reach out.

