Quantum-classical hybrid optimisation for energy grids
Building QuantumGrid: unit commitment as QUBO and Ising models, QAOA and VQE experiments, classical baselines, penalty tuning and scaling limits.
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Notes on building production AI systems
Engineering notes on the systems I build, with experiments, trade-offs and links to the code. Technical articles are currently available in English.
Neural signal decoding via transformer pre-training
Building NeuroLLM: masked EEG pre-training, motor-imagery fine-tuning, frequency-band attention and comparisons with classical BCI baselines.
Read article →Building a hierarchical VLM+RL manipulation system
Inside RoboLLM: a vision-language planner, object grounding and learned motor policies for hierarchical manipulation tasks in MuJoCo simulation.
Read article →Writing CUDA kernels for transformer inference on T4
Implementing FlashAttention, fused GeLU, RoPE and paged KV-cache in CUDA and Triton, and interpreting NVIDIA T4 results with the roofline model.
Read article →Designing a runtime layer for governed, vendor‑neutral AI
Design notes on AI runtime layers: governing tool execution, preserving evidence and managing vendor choice and cost in production systems.
Read article →Observability for LLM systems beyond logs and metrics
How to observe LLM behavior through evaluations, evidence and feedback loops, beyond the logs and resource metrics used for conventional services.
Read article →Foundations for deep learning in robotic systems
Practical notes on deep learning for robotics: simulation, reinforcement learning, vision-language models and the constraints imposed by real hardware.
Read article →Practical notes on RAG pipelines
Practical RAG design notes covering retrieval objectives, indexing, chunking, hybrid scoring and orchestration, with pseudocode and an architecture diagram.
Read article →Robotics × energy systems
Thinking about robot fleets as energy systems: task assignment, charging, power constraints and policies that balance cost against service quality.
Read article →Sketches toward quantum AI
A practical introduction to qubit states, variational quantum circuits and hybrid training loops that combine quantum and classical computation.
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