
AI-assisted hiring platform — candidate portal, recruiter HRMS and internal hiring workflows.
Portals, dashboards, and multi-tenant SaaS — system-designed from day one.
Production-grade web platforms built on Next.js, Node.js, and a data model that holds up as usage grows: customer portals, internal dashboards, admin panels, and multi-tenant SaaS.
Most platforms that struggle in year two were never designed — they were accumulated. I start with the data model, tenancy, auth, and background work, and only then build screens on top of it.
The result is a platform your team can extend: typed end to end, with clear service boundaries, role-based access, audit trails, and the operational basics (queues, caching, monitoring) already in place.
Capabilities
Multi-tenant SaaS architecture with per-tenant data isolation
Auth with access + refresh tokens, rotation, and role-based access control
Admin panels and dashboards with audit logs and granular permissions
Realtime updates over WebSockets / Socket.IO for live data and notifications
Background jobs on Redis queues for emails, reports, imports, and PDFs
SEO-ready public pages and fast server-rendered UI on Next.js
Fit
Deliverables
Process
A working session on goals, users, constraints, and existing systems. You get a written scope, open questions, and a clear recommendation on what to build first.
Data model, service boundaries, auth, async work, and infrastructure are designed up front and shared as a short architecture document before any code is written.
Milestone-based delivery with a staging environment from week one, regular demos, and code in your repository — not a black box handed over at the end.
Production deployment with CI/CD, monitoring, backups, and a rollback path. Launch is rehearsed on staging so release day is uneventful.
Post-launch stabilisation, then an optional monthly retainer for features, upgrades, and on-call fixes. Handover docs are included either way.
Proof

AI-assisted hiring platform — candidate portal, recruiter HRMS and internal hiring workflows.

Tax filing platform for a licensed e-Return Intermediary, built for peak load at India's ITR deadlines.

Corporate platform for a construction and precast concrete company — catalog, projects and lead capture.
FAQ
Something else? Ask directly.
It depends on scope, integrations, and timeline, so rates are discussed per project. After a short discovery call you get a written proposal with scope, milestones, and a fixed quote or a monthly retainer option.
Yes. Tenancy is decided at the architecture stage — shared schema with tenant scoping, schema-per-tenant, or database-per-tenant — based on your compliance needs, customer size, and expected growth.
Whichever fits the data. Relational, transactional data (billing, bookings, ledgers) usually goes to PostgreSQL; flexible documents and event-style data often suit MongoDB. Redis handles caching, sessions, and queues in both cases.
Yes. I start with a codebase and infrastructure review, then recommend either incremental fixes or a staged rebuild that keeps the current system running until the new one is ready.
You do. Code lives in your repository and infrastructure runs in your cloud accounts from the start. Intellectual property transfers as agreed in the proposal once milestones are paid.
Also available
Tell me what you are building and where it is stuck. You will get a straight answer on approach, timeline, and whether I am the right fit — rates are discussed once the scope is clear.
India · UAE (Dubai) · remote-friendly