KARACHI, PAKISTAN · GMT+5
I build end-to-end AI systems — RAG, agents, computer vision, and voice pipelines — that ship into real industrial and product workflows.
TRACE
3 roles · Feb 2025 → now
expand any span for detail
AI/ML Engineer — Industrial Vision & Autonomous Workflows
IN PROGRESS
two products · one in factory lines, one in hardening
Products of my own, in active development.
They ship when they hold up, not when they demo well. The industrial Track & Trace CV pipeline is running live factory tests for FBR compliance. The second is an autonomous LangGraph email agent serving 500+ users under real workflow load.
autonomous email agent for 500+ users · multi-turn thread summarization, action item extraction, and draft dispatch
updates on LinkedInDESIGNED
1 flagship system · 4 systems shipped
YOLOv11 detection and tracking pipelines for product inspection across paper, packaging, and beverage lines — wired into Naturetech monitoring for FBR Track & Trace compliance.
Specifics stay private until it's ready to be named. Happy to walk through it in a live demonstration.
End-to-end document intelligence pipeline combining PaddleOCR, Docling, geometric layout alignment, and LLM normalization into structured JSON.
Low-latency bidirectional WebSocket voice pipeline integrating speech-to-text, prompt-tuned LLM for classical Arabic, and TTS for real-time speech translation.
Retrieval-augmented assistant over university course materials, exposed as a Streamlit app with semantic search.
Code-aware assistant for navigating and explaining repositories with vector embeddings and Streamlit demo.
Materials
what the models, agents, and pipelines are built from
Origin
where the first build ran
Sir Syed University Of Engineering And Technology, Karachi
Focused on Intelligent Systems, Applied Machine Learning, and Computer Vision.
Ingress
Work enquiries, architecture questions, and collaboration ideas all land in the same inbox, and I read them.
quick note
Email from Daniyal Hasan Syed, subject: quick note. Hi, I'm Daniyal, an AI/ML engineer. I build the systems that ship into production: RAG pipelines, autonomous agents, YOLOv11 computer vision, and real-time voice. I focus on what actually works under real constraints, not just what demos well. Building an AI workflow, stuck on retrieval, or want to discuss a role? Reply anytime. — Daniyal