Open to junior/mid-junior backend roles — remote or Pakistan-based
Python/Django Backend Engineer
Building production-grade multi-tenant SaaS systems — Django, PostgreSQL, REST APIs, and AI-integrated backends.
I'm a backend developer specializing in Django, multi-tenant SaaS architecture, REST API design, and AI/RAG-integrated systems. I care about clean data isolation, well-documented APIs, and the architectural decisions that make a system maintainable as it scales.
I'm currently building a portfolio of three production-style projects covering schema-level multi-tenancy, Django REST Framework, Celery background processing, and pgvector-powered RAG pipelines — each documented with the architecture decisions behind it.
Each project is documented with architecture decision records (ADRs) explaining the trade-offs behind it.
A schema-level multi-tenant task management platform built with django-tenants. Each organization gets an isolated PostgreSQL schema with subdomain-based routing, giving complete tenant data isolation while sharing a single Django codebase and deployment.
A production multi-tenant SaaS for real estate developers. Role-based access control, full audit logging, background processing with Celery, a documented DRF API, and server-side PDF generation for contracts and reports.
A domain-agnostic, multi-tenant RAG knowledge platform. The pipeline — PDF ingestion, chunking, embeddings, pgvector search, and citation-grounded answers — works across legal documents, company policies, research papers, compliance manuals, and internal knowledge bases. One reusable AI backend, many industries.
Separate PostgreSQL schemas per tenant give strong data isolation and simpler queries (no tenant_id filters everywhere), trading some operational overhead for security and clarity that enterprise clients expect.
PDF generation, embeddings, and notifications are offloaded to background workers so request latency stays low. Redis as the broker keeps the stack lean while supporting retries and scheduled tasks.
Storing embeddings in PostgreSQL alongside relational data keeps the architecture simple, transactional, and tenant-aware — no extra service to operate, and joins between documents and vectors stay trivial.
Open to junior/mid-junior backend roles — remote or Pakistan-based. The fastest way to reach me is email — or connect on LinkedIn and GitHub.
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Python/Django Backend Engineer