Muhammad Fazeel Yaqoob
AI/ML engineer for production agentic and multimodal systems
I build production AI systems across agents, RAG, speech, document intelligence, and real-time computer vision, from architecture and orchestration to deployment.
Selected systems
Production AI work with metrics, architecture, and constraints.
Data Project Analyzer
A self-service analytics platform that ingests business data, builds context, generates dashboards, and answers grounded questions through deterministic analytics plus LLM agents.
PremierNX QA Evaluation System
A multi-client call-center QA platform that transcribes recordings, scores agents against configurable rubrics, and produces evidence-backed compliance reports.
Premier Nexus
A secure AI workspace for document ingestion, RAG, role-based access, model routing, speech capabilities, and workspace-isolated chat.
Systems map
Built across the full applied AI stack.
Multi-agent workflows, tool routing, memory, and human review.
Document ingestion, vector search, grounding, and workspace isolation.
STT/TTS pipelines, call scoring, transcripts, and evaluation.
OCR, vision models, extraction, validation, and exports.
YOLO, OpenCV, BERT, PyTorch, TensorFlow, and real-time inference.
Cost tracking, audit logs, PII handling, auth, and deployment discipline.
Research arc
From real-time ML to dependable agentic systems.
The story runs from computer vision and speech foundations into RAG, document intelligence, multi-agent orchestration, and research in privacy-preserving machine learning.
Read the arcCredentials
AI, cloud, and ML certifications
Next step
Need an engineer who can move AI past the demo stage?
Based in Kuala Lumpur and working remotely, I am open to AI engineering roles focused on dependable LLM, agent, speech, and document systems.