Shane A S

👋 Hi, I’m Shane — a B.Tech IT graduate from SRM University with hands-on experience in Cloud Infrastructure, Email Deliverability, and DNS Management.

I design and operate production-ready systems — from Django applications to VM-based hosting with Nginx, mail stack configuration (MX/SPF/DKIM/DMARC), and DNS hygiene. My focus is reliable, secure, and maintainable infrastructure.

Self Hosted (Postfix + Dovecot)
I built a fully self-hosted mail infrastructure using BIND for authoritative DNS, custom NS records, and a Postfix + Dovecot mail stack with full SPF, DKIM, and DMARC alignment. The entire system was engineered end-to-end and achieved verified “status=sent” delivery directly from my MTA.

Reverse Proxy Infrastructure
Configured a reverse proxy layer with TLS termination on GCP, routing traffic securely to an isolated backend service. Domain live: utree.sbs / www.utree.sbs, fully operational over HTTPS with a clean, scalable architecture using managed TLS and custom SSL configuration.

Self Hosted Email via (Hestia – cPanel)
Configured a hosted email setup using HestiaCP with proper DNS records (MX, SPF, DKIM, DMARC) and inbound mail validation. Tested successful email delivery from Gmail and verified mailbox access via Thunderbird (IMAP).

Multi-Region High-Availability Reverse Proxy Architecture
Deployed a multi-region high-availability application using an Nginx reverse proxy failover architecture, with SSL termination and upstream health checks to ensure continuous service availability.

Forward Proxy Access Control with Squid
Built and tested a forward proxy using Squid on a VM to control outbound web access. Configured firewall rules, client-side proxy routing, and domain-based ACLs to selectively block websites and validate traffic flow through Squid access logs.

Cloud Monitoring & Observability with Datadog
Designed and deployed a cloud monitoring setup to observe infrastructure and containerized workloads. The project includes a Dockerized backend service exposed via Nginx with HTTPS and Datadog integration for metrics, logs, and alerting. Monitoring was validated by simulating CPU load, application errors, and service downtime.