Telecom AI research, applied engineering and the learning resources that bring others along.
Explore GitHubConnecting telecom specifications to contextual, traceable AI answers.
My work connects document ingestion, structured knowledge, graph and semantic retrieval, and evaluation. The focus is bringing telecom domain knowledge into retrieval and agentic reasoning workflows.
Tools, retrieval and orchestration for domain-specific AI workflows.
Public explorations with LangGraph and local language models. These repositories illustrate orchestration and retrieval patterns, separate from employer-specific implementations.
LangGraph explorationsLocal LLM RAGConnecting product needs, technical work and delivery coordination.
Project management at Seiyaj Tech for Amanah and traceability initiatives. My contribution brings requirements, technical decisions and delivery planning together.
Making work activities and their progression traceable.
A high-level view of project work focused on activity and progress traceability. Further context is shared only where appropriate.
From reproducible experiments to the full model lifecycle.
Master-level MLOps material, introductory workflows and a Python starter kit. Practical exercises connect model development to experiment tracking, packaging and deployment.
MLOps courseStarter kitTeaching the systems and decisions behind useful generative AI.
Course materials on GenAI architectures, infrastructure and deployment, alongside practical AI-assisted developer workflows.
GenAI architecture courseDeveloper productivityLearning methods grounded in wireless systems and network constraints.
Research spanning MLOps for RAN automation and reinforcement learning on digital twins, building on a foundation in signal processing, time reversal and MIMO.
Image analysis and adaptation of multimodal models.
AxoDetection explores counting axons in microscopy images; VLM-finetuning explores adapting a multimodal model for vision. The repositories document exploratory engineering work.
Image analysisVLM fine-tuningResearch themes, project-management contributions and public learning resources are labelled by context. Where code is available, links lead to the specific resource.
Research collaborations, AI architecture, project delivery or a room full of curious learners. Let’s talk about what you’re building.
ali.mokh@gmail.com