Muhammad Shurahbeel
I’m an AI / Machine Learning Engineer from Lahore who builds predictive models and agentic systems using Python and modern ML frameworks like PyTorch and TensorFlow.
About
I’m an AI / Machine Learning Engineer from Lahore who builds predictive models and agentic systems using Python and modern ML frameworks like PyTorch and TensorFlow. I enjoy turning messy data into reliable features, running solid evaluation pipelines, and deploying NLP and computer-vision approaches that solve real problems.
Alongside ML, I bring strong software and security foundations—building web applications with React/TypeScript and Node.js/Express, and applying OWASP-guided secure coding practices (including RBAC and MFA). I’m motivated by fast-paced, impact-focused work, from hackathons to production-ready pipelines, and I love collaborating to ship trustworthy solutions.
- Joined October 2026
Industry experience
- Software & Internet
- Computers & Electronics
- Education
- Government
- Healthcare
Work experience
Trained regression and classification models using scikit-learn, TensorFlow, and PyTorch for predictive analytics. Built pipelines for data cleaning, feature engineering, hyperparameter tuning, cross-validation, and model evaluation. Applied text classification with tokenization and sentence embeddings, as well as computer vision models, to real datasets.
Built web applications using JavaScript, Firebase, and SQL. Implemented multi-factor authentication (MFA) and role-based access control (RBAC) following OWASP Top 10 guidance. Conducted vulnerability assessments and penetration testing, and performed secure code reviews on public sector systems.
Developed responsive front-end interfaces using OWASP secure coding guidance and Content Security Policy practices. Performed black-box and white-box testing to identify and remediate XSS and CSRF issues. Contributed to security architecture discussions and led awareness sessions.
Education
Certifications and awards
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