A S Swan
Software Engineer building production systems that scale, perform, and ship fast.
Full-stack architecture · CRM data pipelines · Enterprise integrations · Performance optimization
Experience
Where I've shipped
Software Engineer
White Rabbit Group
- Own end-to-end architecture for enterprise web applications serving 10,000+ users across multiple client deployments
- Designed and built data synchronization pipelines across Salesforce, HubSpot, Microsoft Dynamics 365, and EquipSoft — automating complex CRM data flows for 3 enterprise clients
- Implemented CI/CD pipelines that reduced deployment time and eliminated manual release errors across 3 development teams
- Built automation scripts eliminating 15+ hours of weekly manual work across operations and engineering
- Revived underperforming projects by restructuring codebases, introducing tracking systems, and establishing cross-team collaboration workflows
Full Stack Developer
Revyu
- Scaled Shopify review management platform to 500+ active merchants with 99.5% uptime
- Improved user engagement by 35% through optimized React-based interfaces and UX redesigns
- Built standalone changelog and feedback systems that reduced support ticket volume by 25%
- Developed and shipped multiple Shopify e-commerce applications from zero to production
Projects
Systems I've built
Production systems with measurable impact — not side projects.
Enterprise CRM Integration Platform
Problem
Multiple enterprise clients needed automated data synchronization across Salesforce, HubSpot, Microsoft Dynamics 365, and EquipSoft — each with different schemas, APIs, and data models.
Architecture
Built event-driven data pipelines using AWS Lambda for serverless processing, PostgreSQL for persistent storage, and custom API adapters per CRM platform. Implemented retry logic, data validation layers, and monitoring dashboards.
Impact
- Automated data sync for 3 enterprise clients
- Eliminated manual data entry processes
- Zero data loss across 100K+ record migrations
Full-Stack Web Platform — 10K+ Users
Problem
Client needed a production web application built from scratch to serve 10,000+ end users, with authentication, admin dashboards, and real-time data processing.
Architecture
React frontend with server-side rendering, Node.js API layer, PostgreSQL database with optimized queries, and AWS infrastructure. Implemented CI/CD pipeline with automated testing and staged deployments.
Impact
- Serving 10,000+ active users in production
- Reduced deployment time via CI/CD automation
- Delivered full build independently from architecture to deployment
Revyu — Shopify Review Platform
Problem
Shopify merchants lacked an integrated, AI-powered review management system that could drive customer engagement and provide actionable insights from feedback data.
Architecture
Full-stack Shopify app with React storefront widgets, Node.js backend for review aggregation and AI processing, Firebase for real-time data sync, and Shopify API integration for seamless merchant onboarding.
Impact
- Scaled to 500+ active merchants with 99.5% uptime
- Increased user engagement by 35%
- Reduced support tickets by 25% via self-serve changelog and feedback modules
MessedUp — Hostel Management System
Problem
University hostel facilities managing 500+ students relied on manual processes for mess billing, attendance tracking, and fee collection — leading to errors and administrative overhead.
Architecture
Web application with React frontend, RESTful API backend, Firebase for real-time sync, PostgreSQL for billing data, and Google Apps Script for automated report generation and email notifications.
Impact
- Reduced administrative overhead by 75%
- Automated bill generation for 500+ students
- Deployed across multiple CUSAT hostel facilities
Technical Depth
Production-tested technologies
Not just exposure — these are tools I've used to build, ship, and scale real systems.
Engineering Philosophy
I build systems that scale before they need to.
Product-minded engineer focused on architecture, performance, and measurable impact. Technology-agnostic — I pick the right tool for the problem, not the other way around.
Systems over features
I design for scale from day one. Clean abstractions, modular architecture, and infrastructure that doesn't need to be rewritten in six months.
Ship fast, ship right
Velocity matters, but not at the cost of reliability. I optimize for fast iteration cycles with strong CI/CD practices and automated testing.
Measure everything
Performance budgets, error rates, deployment frequency. Every decision is informed by data, not assumptions.
Contact
Let's build something
Open to full-time roles, consulting, and technical collaborations.