SaaS platforms need strict data isolation between tenants — a single misconfigured query can expose one client's data to another, making multi-tenancy one of the hardest correctness problems in backend engineering.

Built a production-ready blogging API with tenant-scoped data isolation at the query layer, JWT & Google OAuth2 authentication, a real-time notification delivery system, and an AI-powered content recommendation engine.

90%+ test coverage verified by Pytest. Redis caching eliminates redundant DB hits on hot endpoints. Deployed on Render with zero cross-tenant data exposure confirmed across the full test suite.

REST polling for messaging creates latency, wasted requests, and a broken UX — teams need true real-time delivery with typing indicators, read receipts, and proper group permission hierarchies.

Engineered a full-stack chat platform using Django Channels for persistent WebSocket connections, with Redis as the channel layer for horizontal scaling. Implemented private and group conversations, owner/admin/member RBAC, and full-text message search.

WebSocket connections replace polling entirely — messages are pushed instantly with no client-side request overhead. Role-based permissions enforced at the channel layer prevent privilege escalation. Frontend deployed on Vercel, backend on Render.

Shared docs tools like Google Docs offer no tenant isolation, no audit trail, and no fine-grained access control — teams can't know who changed what, or enforce meaningful permission boundaries.

Built a multi-tenant documentation platform with organization-scoped workspaces, RBAC (owner/admin/member/viewer), document versioning with immutable audit logs, invite-based team management, and JWT access + refresh token auth.

Each organization is fully isolated — no cross-tenant data leakage by design. Every write is captured in an immutable audit log, making the platform compliance-ready out of the box. Refresh token rotation means users stay logged in without sacrificing security.

Streaming apps transmit full video data even when you only want audio — burning bandwidth on pixels you never see. Browser-based players can't offer a native desktop experience or work well on low-bandwidth connections.

Created a minimalist cross-platform desktop music streaming app that uses yt-dlp for audio-only extraction, cutting out video data entirely. Features trending music discovery, keyword search with tag filtering, and a FastAPI backend for API routing and audio processing.

Audio-only streaming slashes bandwidth consumption dramatically compared to full video streams — a meaningful difference on metered or slow connections. Ships as a native desktop app on Linux, Windows, and macOS with no browser dependency.