I build backend systems around AI — from production-style FastAPI services and RAG pipelines to agentic workflows, voice AI, and LLM-powered applications.
I'm particularly interested in the engineering that happens around the model: retrieval, APIs, databases, orchestration, evaluation, security, observability, and human-in-the-loop workflows.
ArtLoom360 is a platform that lets artists create immersive 3D virtual exhibitions, showcase their work, interact with visitors, and understand audience engagement.
The backend covers areas such as:
- Authentication & authorization
- REST APIs
- PostgreSQL data modeling
- Analytics
- Exhibition management
- Artwork management
- Comments & messaging
- Notifications
- Orders & monetization
- Scalable backend architecture
Stack: FastAPI · PostgreSQL · React · Three.js · Docker
Backend
Python · FastAPI · Flask · REST APIs · PostgreSQL · MySQL
AI / LLM Systems
LangChain · LangGraph · RAG · LLMs · LoRA · QLoRA · PEFT
Vector Search
Milvus · FAISS · pgvector
Voice AI
Whisper · ElevenLabs · LiveKit
Automation
n8n · Make
Engineering
Docker · Git · GitHub Actions · Pytest · Sentry
Frontend
React · Vite · Three.js · React Three Fiber
AI models are only one part of an AI product.
The interesting engineering starts when you have to make them reliable, contextual, secure, observable and useful in the real world.
I'm going deeper into:
- Backend system design
- Production FastAPI architecture
- Agentic AI systems
- RAG reliability
- LLM evaluation
- AI security
- MCP
- Distributed systems
- Open-source engineering
I'm interested in opportunities involving:
Backend Engineering · AI Engineering · LLM Applications · RAG · Agentic Systems · Applied AI
I'm also actively contributing to open-source projects and building in public.
- LinkedIn: linkedin.com/in/ark101
- Email: arkbusi062@gmail.com
- GitHub: @abdullah-rashid62
Building systems where AI meets real backend engineering.