const AbuSinan = {
identity : "Full Stack Developer · AI Automation Engineer · SaaS Builder",
location : "Bangladesh 🇧🇩",
available : true,
hire : "https://www.upwork.com/freelancers/~01e30dce1e0e342629",
building : [
"AI workflow automation systems",
"Smart bots for real business problems",
"SaaS products with clean, minimal UIs",
"E-commerce automation platforms",
],
currentFocus: {
ai : "LLM agents, RAG pipelines, AI-powered automation",
frontend : "Next.js 15, TypeScript, shadcn/ui",
backend : "FastAPI, async Python, Redis queues",
infra : "Docker, GitHub Actions, VPS deployment",
},
philosophy : "Ship fast. Build clean. Automate everything worth automating.",
};Frontend
Backend & Automation
AI / LLM
Database & Storage
DevOps & Tools
Problem: Limited-edition drops sell out in seconds. Manual checkout is impossible at scale. Stack: Key Features:
|
Problem: Solo devs running a Linux VPS have zero visibility into attacks happening right now. Stack: Key Features:
|
Problem: UX research is slow, expensive, and impossible to scale for early-stage teams. Stack: Key Features:
|
Problem: Manual signal tracking causes missed entries. You can't watch charts 24/7. Stack: Key Features:
|
┌─────────────────────────────────────────────────────────────────────┐
│ │
│ ⚡ WHAT I BUILD WITH AI │
│ │
│ ◆ LLM-powered agents that replace entire manual workflows │
│ ◆ Intelligent bots that monitor, decide, and act autonomously │
│ ◆ RAG pipelines that make any document queryable in seconds │
│ ◆ Automation systems that run 24/7 without human intervention │
│ ◆ AI-enhanced SaaS products with measurable business value │
│ │
│ 🔧 HOW I BUILD │
│ │
│ ◆ Python-first backend with async architecture │
│ ◆ Next.js frontend with server-side AI integration │
│ ◆ Supabase + pgvector for AI-native data storage │
│ ◆ Celery + Redis for scalable async job queues │
│ ◆ Docker + GitHub Actions for reproducible deployments │
│ │
└─────────────────────────────────────────────────────────────────────┘
"A system that automates one hour of human work per day is worth building. A system that does it for a thousand people is worth shipping."
| Principle | Application |
|---|---|
| Ship over perfect | MVP in production beats a perfect design in Figma |
| Automate the boring | If you do it twice, write a script for it |
| Architecture first | Folder structure is a product decision |
| Clean over clever | Code is read by humans, not just machines |
| Prove, don't claim | Live demos beat bullet points every time |
───────────────────────────────────────────────────────
[✓] Ship personal portfolio with multi-language support
[✓] Build production Python bots with real users
[→] Build and launch first SaaS with paying users
[→] Master async Python architecture + Redis queues
[→] Deploy a RAG pipeline into a real product
[→] Build an AI agent with multi-step tool use
[ ] Reach $1,000 MRR from a shipped SaaS product
[ ] Contribute meaningfully to one open-source project
[ ] Build a public AI automation template library
───────────────────────────────────────────────────────
github.com/abu-sinan · abusinan1523@gmail.com