Inayat Arshad
@inayatarshad
About
Applied AI Engineer & Researcher | NLP. Generative AI · RAG · LLM Fine-Tuning · Agentic AI · Multi-Agent Systems · ·Explainable AI | PyTorch · LangGraph
Skills & Technologies
Projects & Repositories
Recent public projects and repositories from this profile.
inayatarshad
No project description available.
multi-agentic-rag
PythonA nine-agent, self-correcting retrieval pipeline that checks its own answers against the evidence that produced them.
DRL-trust_x-drones
Jupyter NotebookTRUST-X is an explainability and trust-calibration layer for deep reinforcement learning (DRL) drone controllers. A TD3 agent learns to fly through a 3D city
morpholens_app
TypeScriptExplore how words change across languages. MorphoLens is an interactive research workspace for low-resource morphology and unseen-lemma generalisation, built on UniMorph data for Turkish, Urdu, Evenki, Chukchi and Romanian.
eternity-twin-nlp
TypeScriptNo project description available.
research-gap_engine
TypeScriptLacuņa maps what NLP research is studying and, more usefully, what it keeps skipping. It scores under-researched language and task pairings, argues why each one is a real gap rather than a non-problem, and shows the papers behind every number it prints. Built over 16,605 papers, 73 languages, 26 tasks and 1,722 venues, spanning 2008 to 2026.