whoami
Charles Menguy — AI/ML Engineer
Leading Decision Science & Conversational Systems at Adobe. I build production ML systems, with a focus on large language models, training infrastructure, and inference at scale. Graduate from EPITA (École pour l'Informatique et les Techniques Avancées).
This blog is where I share technical deep-dives, experiment notes, and practical insights from the trenches of applied AI.
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LLMs
- Fine-tuning & alignment (LoRA, RLHF, DPO)
- Inference optimization & serving
- Prompt engineering & evaluation
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ML Systems
- Training pipelines & distributed computing
- Model serving infrastructure & MLOps
- Data processing at scale
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Deep Learning
- Architectures & optimization
- Research paper breakdowns
- PyTorch, Transformers, vLLM
man blog
NAME
cmenguy.github.io — technical AI/ML engineering blog
SYNOPSIS
Code-first deep-dives into LLMs, ML systems, and deep learning. Real implementations, real math, real opinions.
DESCRIPTION
Every post starts with a real problem — something that came up at work, broke in production, or kept me up at night. Expect runnable code, honest trade-offs, and zero LinkedIn thought leadership. Written by a human, enhanced by LLM.
SEE ALSO
Welcome to the AI Terminal — the full manifesto
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