Designing and shipping production-grade Agentic AI systems for retrieval, reasoning, and autonomous decision workflows.
What I've Built
Production AI systems spanning autonomous agents, knowledge retrieval, aerospace simulation, and biometric security.
C3-hierarchy multi-agent LLM system acting as a real-time Battle Management Assistant — now extending into 3D.
Hybrid KG-RAG system answering multi-hop, relationship-dense queries about F-16 aircraft
Multi-agent research system with intent routing, parallel web + academic retrieval, citation validation, and human-in-the-loop review.
Multi-stage AI liveness detection: quality gating, passive depth analysis, active challenge–response, and face matching.
Fully local, offline RAG with layout-aware parsing, two-stage retrieval, and RAGAS + LLM-as-judge evaluation.
Multi-label behavioral classification of clinical transcripts — generative AI benchmarked against embeddings + XGBoost across 26 labels.
Work History
April 2024 — Present · Islamabad, Pakistan
Key Contributions
Past Independent Collaborations
Lead AI Developer
Leading development of a Enterprise RAG platform with multi-tenant knowledge management.
Architected & built AI module: passive liveness detection, active challenge-response, and face embedding matching with optimization for deployment.
AI Engineer
Designed and implemented multi-label behavioral classification system for clinical interview transcripts using generative AI approaches, and compared with classical ML pipeline.
Web Developer
Worked on the redesign and development of NCAI's official platform. Also engaged and participated in domain discussions regarding AI fundamentals.
Capabilities
From agentic AI orchestration to production deployment — the full stack I use to ship AI systems.
Currently Exploring
Frontier AI topics I'm actively exploring, prototyping, and integrating into ongoing work.
Exploring advanced hybrid retrieval architectures that combine structured knowledge graph traversal with dense vector search for improved multi-hop reasoning and context grounding in domain-specific corpora.
Exploring world models for long-horizon planning and environment-aware autonomous agent systems.
Researching persistent memory architectures for agentic systems that maintain coherent context across extended task sequences without unbounded context windows.
Events & Publications
Collaborated on an AI-powered cultural heritage guidance application using the ERNIE 4.5 multimodal vision-language model for 6 UNESCO World Heritage Sites in Pakistan.
Get in Touch
Have an idea in agentic AI, retrieval, or autonomous systems? Let's talk about how to build it.