Software Developer · AI Engineer
I build full-stack products, AI systems, and automation.
01 — ABOUT
Engineering is how I think. Shipping is how I learn.
I build software around real problems — from full-stack products and AI-powered systems to automation and developer tooling. I care about turning ideas into systems that are useful, maintainable, and actually shipped.
My work lives at the intersection of product engineering, AI systems, and developer tooling — focused on building things that are clear in intent, solid in execution, and ready for real use.
02 — CAPABILITY
AI Engineering: Integrating AI systems into practical, real-world products.
Full-Stack Products: Web applications from interface to backend — product thinking from day one.
Automation: Workflows that reduce friction and scale independently.
Developer Systems: Tools and infrastructure that improve how software gets built.
03 — SELECTED WORK
01 / MENTORAI — AI LEARNING PLATFORM
AI Learning Platform for Active Recall and Adaptive Learning — built as an editorial, dark-mode learning environment.
02 / DH FARMS — COMMERCE PLATFORM
Modern Agricultural E-Commerce Platform — warm, premium commerce with organic product narratives.
03 / TEXT2DATASET — DOCUMENT INTELLIGENCE
AI Document Intelligence and Dataset Extraction Platform — turning unstructured documents into usable datasets.
04 / VERIFACE — COMPUTER VISION
Browser-based Facial Attendance System — a monochrome biometric system with strong typographic identity.
04 — FOCUS
- 01 — AI System Design · AI-native application development.
- 02 — Backend Engineering · Systems and APIs.
- 03 — Automation · AI automation and workflows.
- 04 — Product Engineering · From idea to shipped product.
05 — STACK
Frontend: React · Next.js · TypeScript · JavaScript · Tailwind CSS · Vite.
Backend: Node.js · Express · Python · FastAPI.
Data: PostgreSQL · Supabase · MongoDB · MySQL.
AI: LLM APIs · AI Integration · AI Automation.
Infrastructure: Git · GitHub · Vercel · Docker.
06 — ACTIVITY
Contribution graph — updated daily. Native GitHub activity reflects real shipping cadence.
Built with intent — less, but intentional.







