update: contact link

README.md

@@ -19,8 +19,8 @@ base_model:
 
 This model is designed to classify Wazuh alerts as either **true positive** or **false positive**. It helps SOC analysts reduce false positives by filtering out non-critical alerts. The model is fine-tuned on security logs and Wazuh alerts using instruction-based learning.
 
-- **Developed by:** [holil](https://github.com/lil-id)
-- **Funded by:** [holil](https://github.com/lil-id)
+- **Developed by:** [holil](https://www.linkedin.com/in/kholil-haq-alim-hakim/)
+- **Funded by:** [holil](https://www.linkedin.com/in/kholil-haq-alim-hakim/)
 - **Shared by:** [holil](https://www.linkedin.com/in/kholil-haq-alim-hakim/)
 - **Model type:** Transformer-based classification model
 - **Language(s) (NLP):** English
@@ -255,5 +255,5 @@ If you'd like to **retrain or fine-tune** the model on specific alert fields onl
 
 ## Model Card Contact
 
-For inquiries, contact [holil](https://github.com/lil-id).
+For inquiries, contact [holil](https://www.linkedin.com/in/kholil-haq-alim-hakim/).