
AI-assisted hiring platform — candidate portal, recruiter HRMS and internal hiring workflows.
Deploy it, watch it, and keep it fast under real load — on AWS, GCP, DigitalOcean, or a VPS.
Infrastructure that fits the product: AWS, GCP, DigitalOcean, or a Hostinger VPS, with Docker, CI/CD, Redis caching, monitoring, and zero-downtime deploys — plus performance work when things slow down.
Not every product needs Kubernetes. I pick the simplest infrastructure that meets your load, budget, and compliance needs — and make it reproducible, so it does not depend on one person remembering what was clicked.
Existing systems get a performance and reliability pass: slow queries, missing indexes, cache strategy, memory leaks, and deploys that take the site down. Each fix is measured before and after.
Capabilities
Deployments on AWS, GCP, DigitalOcean, or a VPS, sized to real load
Dockerised services with CI/CD pipelines on GitHub Actions
Zero-downtime deploys with health checks and one-step rollback
Load testing and fixing the bottlenecks that show up under real traffic
Redis caching, database indexing, and query optimisation
Monitoring, uptime alerts, centralised logs, and automated backups
Nginx, SSL, domains, and environment and secrets management
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.

Offline-first income and expense tracker for Android and iOS. My own product, live on both stores.

Corporate platform for a construction and precast concrete company — catalog, projects and lead capture.
FAQ
Something else? Ask directly.
It depends on load, budget, team, and compliance. A single well-configured VPS is often enough early on; AWS or GCP make sense when you need managed databases, autoscaling, or specific regions. You get a recommendation with the trade-offs written down.
Often, yes. Common savings come from right-sizing instances, caching, fixing expensive queries, and removing idle resources. Changes are measured so you can see the effect.
New versions start alongside the old ones and only receive traffic after passing health checks. If something goes wrong, rollback is a single step and users do not see an outage.
With measurement: response times, slow query logs, and resource usage under real traffic. Fixes are prioritised by impact — usually indexes, caching, and N+1 queries before any infrastructure change.
Yes, through an optional monthly retainer covering monitoring, upgrades, security patches, backup checks, and incident response.
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