Full-Stack
I'm Jaspreet Singh. I build scalable, reliable systems that replace manual workflows and handle real-world complexity — from multi-tenant platforms and ERP systems to real-time applications, deployed across web, mobile, and backend.
Philosophy
The attitude behind the code:Code.
My first passion was to understand how complex systems work together, and then it became my passion to learn how to get from a business goal to the best technical solution.
I think great software is invisible. It should be so easy to use and so well designed that the user doesn't realize that he's using a machine. That's what I believe and that's all my architecture is based on.
Otherwise, you'll see me architecting systems, adding to open source, or finding my footing in the next generation of engineers.
Featured Work
Production Systems
Systems I've designed, built, and shipped to production. Each project includes architecture decisions, deployment strategy, and real engineering challenges.
Infrastructure
How I Ship
Systems thinking from local dev to production. Every project ships with a real deployment strategy.
Deployment
Vercel · VPS (Nginx) · Supabase
Zero downtime deploy, edge function, managed Postgres, custom architecture
CI/CD
GitHub Actions
Automated lint → type-check → build → deploy pipeline to be run on every push.
Automation
Webhooks · Cron jobs · Realtime subscriptions
Auto-scheduling, background sync, Supabase Realtime for live data
Observability
Full observability stack: error tracking with source maps, structured logging, uptime checking, and real-time alerts – every production system is instrumented from day one
Security
Row Level Security · Bot protection · RBAC
Postgres RLS for tenant isolation, permission based access control, bot protection on public endpoints
✓ Build completed in 23s
✓ Tests passed (142 passing, 0 failing)
✓ Docker image pushed → registry
✓ Deployed to production · 0 downtime
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Engineering Philosophy
How I Think
Engineering isn't just about writing code. It's about making the right decisions under constraints.
01
Understand the system
Before writing code, I map data flows, user journeys, and failure modes. Architecture diagrams come before component trees.
02
Ship incrementally
I break every feature into deployable increments. Each PR is a complete, tested unit. Big-bang releases are a code smell.
03
Automate everything repeatable
If I do something twice, the third time is automated. CI/CD, data backups, alerts — machines handle the repetitive work.
04
Optimize with evidence
I profile before optimizing. Lighthouse scores, query plans, and real user metrics drive performance decisions — not intuition.
AI Engineering
AI Engineering & Workflow
AI is a tool, not a product. I integrate AI APIs into production systems and use AI-assisted development to ship faster without sacrificing quality.
AI Integration
OpenAI GPT-4 API — content generation, analysis, and embeddings
Google Gemini API — multimodal processing and reasoning
Prompt engineering with versioned prompt templates
Cost optimization through smart caching and model selection
AI Development Workflow
Cursor IDE — AI-assisted coding and refactoring
GitHub Copilot — accelerated development
ChatGPT — architecture planning, debugging, and documentation
AI-powered code review and optimization
Real-World AI Applications
Automated content generation pipelines
AI-assisted data analysis and reporting
Intelligent form validation and user input processing
Natural language to SQL query generation
Get in touch
Have a project in mind? Let's talk.
Open to full-time remote roles globally. I'll respond within 24 hours.