Afreen Tariq
ML Engineer
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Experience
Python / Machine Learning Intern – Full Stack Zone July 2025 – Aug 2025
Developed an AI-powered cyberbullying detection system using DistilBERT-based NLP, achieving ~92% accuracy and 0.91 F1-score on 19,998 test samples. Built and deployed a Flask REST API for real-time text classification with a sub-2-second response time for low-latency inference. Integrated an ML backend with a responsive frontend and deployed it using ngrok, improving system usability by 40% and enabling full cross-device accessibility for testing.
Validated performance on 500+ diverse samples, improving detection reliability by 25% through iterative optimisation. Automated cyberbullying detection pipeline, reducing manual moderation effort by 60% and improving screening efficiency
Education
EDUCATION University Of Okara Bachelor of Science in Data Science Aspire College Intermediate (FSc) Nov 2022 - Jun 2026 July 2019- Oct 2021
