MLOps Architecture
CI/CD for models, feature pipelines, experiment tracking, and governance.
• Research-to-Production Systems
Building reliable ML platforms
with technical depth and spiritual intentionality.
I design and maintain end-to-end MLOps ecosystems: reproducible training pipelines, model serving, observability, and governance. Alongside technical writing on Deep Learning, LLMs, and Transformers, I also curate reflective notes on Islamic theology, philosophy, and tafsīr.
Core Expertise
LLM & Transformer Systems
Fine-tuning, retrieval-augmented generation, evaluation, and safe deployment.
Observability & Reliability
Model drift monitoring, lineage tracking, and high-confidence release workflows.
Islamic Knowledge Writing
Theology, philosophy, and curated reflections from Qur'anic verses and tafsīr.