Aerospace × Machine Learning

Cunnning labs

I'm Aditya Chikhaliya (Mr. AC), an aerospace engineer. I build machine-learning systems that watch complex machines — jet engines, servers, live data streams — and catch failures before they happen. This site is my public lab notebook: project case studies, technical deep-dives, and the tools behind them.

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Status: Drafting the next deep-dive — C-MAPSS anomaly-detection case study · since Jul 10

Projects

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Flagship case studies — landing soon
C-MAPSS engine anomaly detection, Raquel, and more are in the works.

Writing

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Hello from cunnning.com
Jul 7, 2026 — The first post on my new site.

Signals

Fetching trending models from Hugging Face…

Papers worth your time

Attention Is All You NeedVaswani et al. · 2017 — The transformer — the architecture everything since is built on.
Deep Learning for Anomaly Detection: A ReviewPang et al. · 2020 — The map of my home turf — taxonomy of every deep AD approach.
Mamba: Linear-Time Sequence ModelingGu & Dao · 2023 — Selective state spaces — where long telemetry sequences are heading.
DeepSeek-R1: Reasoning via Reinforcement LearningDeepSeek · 2025 — Open-weights reasoning, trained with RL instead of supervision.

Cunnning labs

Projects

Writing

Signals

Models on the radar live

Papers worth your time