Open to opportunities

Zishan Khan

@zishankhan

Message

Backend developer building secure REST APIs and production RAG AI systems that scale.

India

Message

What I'm looking for

I want to build secure, production-grade backends and AI features—especially RAG systems—where I can own architecture, ship end-to-end, and iterate with strong monitoring, CI/CD, and measurable performance.

I’m a Backend Developer and AI-focused software engineer architecting production REST APIs and LLM-powered platforms. At THDC India Limited, I deployed a Node.js/TypeScript (Express) backend on government infrastructure, including document lifecycle management across 9 modules and 91 source files.

I also engineer end-to-end RAG systems as a freelance software engineer—shipping Haanna, a production chat platform serving 200+ concurrent users. I built pgvector + LangChain pipelines with persistent semantic memory, kept p95 inference under 150ms, and added real-time messaging via Socket.io with Redis-backed BullMQ for async LLM tasks.

My approach blends security, reliability, and measurable performance. I designed multi-tier RBAC with audit trails and strong Jest coverage, monitor with Prometheus/Grafana/MLflow, and deliver clean deployments using Docker and CI/CD—so teams can trust systems in production.

Experience

Work history, roles, and key accomplishments

Current

Freelance Software Engineer

Current

Self-Employed

Jan 2026 - Present (5 months)

Engineered Haanna, a production RAG chat platform serving 200+ concurrent users, with persistent semantic memory and structured prompt assembly over a REST API. Built real-time messaging with Socket.io and Redis-backed BullMQ for async LLM tasks, while monitoring throughput and health using Prometheus, Grafana, and MLflow (p95 inference latency <150ms).

Python RAG Systems Pgvector Socket.IO BullMQ Redis Docker