I build production-oriented AI systems and work on research-driven intelligent interfaces across LLMs, RAG, agentic workflows, multimodal AI, and XR/VR environments.
My work focuses on:
- designing multi-agent AI systems
- building RAG and knowledge workflows
- developing LLM-powered applications and APIs
- exploring multimodal sensing and prediction in immersive VR
I like turning complex ideas into systems that are usable, scalable, and cleanly engineered.
role: AI Engineer + Researcher
interests:
- LLMOps
- Agentic AI
- RAG Systems
- Multimodal AI
- XR / VR Intelligence
- Applied Machine Learning
currently_building:
- multi-agent AI platforms
- retrieval and reasoning pipelines
- production FastAPI backends
- intelligent XR/VR research systems
- Multi-Agent RAG Platform — hybrid retrieval, planning, reflection, validation, and memory-aware reasoning
- LLM-Powered PDF Intelligence Pipeline — structured extraction, validation, and database-ready outputs
- Production FastAPI Backends — authentication, analytics, async workflows, caching, and observability
- PatchFusionVR — multitask prediction of gaze, reaction time, and cognitive load in virtual reality
- VRFallNet — fall risk prediction and prevention using integrated HMD and controller sensors
- Digital Twin for VR Balance — modeling user state and adaptive feedback for safer immersive experiences
> Build useful systems
> Keep architecture clean
> Make AI observable
> Prefer scalable workflows over clever hacks
> Bridge research and production
I am always interested in collaborating on:
- LLM applications
- RAG and retrieval systems
- agentic workflows
- AI for XR/VR
- research-to-production engineering
📫 Email: tanbinirohan@gmail.com
🌐 LinkedIn: linkedin.com/in/tanbinislamrohan
✍️ Medium: medium.com/@tanbinirohan
> status: online
> mode: building cool things with AI
> next: shipping smarter systems