https://ajliouat.com/feed.xmlAbdeljalil Jliouat — Applied AI & Systems EngineeringCode, experiments and engineering notes on production AI.2026-09-06T00:00:00ZAbdeljalil Jliouathttps://ajliouat.com/about.html https://ajliouat.com/blog/foundations-for-robotic-learning.htmlFoundations for deep learning in robotic systems2026-05-20T20:38:25+02:00Practical notes on deep learning for robotics: simulation, reinforcement learning, vision-language models and the constraints imposed by real hardware. https://ajliouat.com/blog/observability-for-llm-systems.htmlObservability for LLM systems beyond logs and metrics2026-05-20T20:38:25+02:00How to observe LLM behavior through evaluations, evidence and feedback loops, beyond the logs and resource metrics used for conventional services. https://ajliouat.com/blog/production-runtime-akiod.htmlDesigning a runtime layer for governed, vendor‑neutral AI2026-05-20T20:38:25+02:00Design notes on AI runtime layers: governing tool execution, preserving evidence and managing vendor choice and cost in production systems. https://ajliouat.com/blog/quantum-ai-foundations.htmlSketches toward quantum AI2026-05-20T20:38:25+02:00A practical introduction to qubit states, variational quantum circuits and hybrid training loops that combine quantum and classical computation. https://ajliouat.com/blog/rag-pipelines-practical-notes.htmlPractical notes on RAG pipelines2026-05-20T20:38:25+02:00Practical RAG design notes covering retrieval objectives, indexing, chunking, hybrid scoring and orchestration, with pseudocode and an architecture diagram. https://ajliouat.com/blog/robotics-energy-systems.htmlRobotics × energy systems2026-05-20T20:38:25+02:00Thinking about robot fleets as energy systems: task assignment, charging, power constraints and policies that balance cost against service quality. https://ajliouat.com/blog/neural-signal-decoding-transformer-pretraining.htmlNeural signal decoding via transformer pre-training2026-05-20T20:21:50+02:00Building NeuroLLM: masked EEG pre-training, motor-imagery fine-tuning, frequency-band attention and comparisons with classical BCI baselines. https://ajliouat.com/blog/quantum-classical-hybrid-energy-grid-optimization.htmlQuantum-classical hybrid optimisation for energy grids2026-02-22T18:52:33+01:00Building QuantumGrid: unit commitment as QUBO and Ising models, QAOA and VQE experiments, classical baselines, penalty tuning and scaling limits. https://ajliouat.com/blog/hierarchical-vlm-rl-manipulation.htmlBuilding a hierarchical VLM+RL manipulation system2026-02-22T14:58:19+01:00Inside RoboLLM: a vision-language planner, object grounding and learned motor policies for hierarchical manipulation tasks in MuJoCo simulation. https://ajliouat.com/blog/writing-cuda-kernels-for-transformer-inference.htmlWriting CUDA kernels for transformer inference on T42026-02-22T14:58:19+01:00Implementing FlashAttention, fused GeLU, RoPE and paged KV-cache in CUDA and Triton, and interpreting NVIDIA T4 results with the roofline model.