𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧丨AI Text Detection with DeBERTa Fine-Tuning

Lead AI/ML Engineer

𝐒𝐜𝐨𝐩𝐞 & 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞: Built a DeBERTa-based classifier to classify human-written and AI-generated text. The key challenge was severe model overfitting during the fine-tuning phase.

𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐚𝐛𝐥𝐞𝐬 & 𝐅𝐞𝐞𝐝𝐛𝐚𝐜𝐤: Architected a stabilized training pipeline with curriculum-based sampling and momentum-guided updates. Delivered a robust model achieving 92.5% accuracy, which now serves as a highly reliable baseline for the client's anti-plagiarism workflows.