Shahzaib Ali Khan

- Developed scalable REST APIs and backend systems using Django REST Framework - Automated internal workflows, reducing manual processes by ~70% - Integrated payment gateways, OAuth2 providers, and invoicing systems securely - Built Docker-based CI/CD pipelines for AWS cloud deployments - Implemented Celery-based background task management for async operations - API documentation and implemented automated test coverage with Pytest

- Implemented anomaly detection and quality checks with Isolation Forest and Variational Autoencoder - Designed AI-based solutions for patient health records processing

- Built microservices for AI-based PDF text extraction and annotation - Configured NoSQL databases for structured storage of extracted information - Developed applications for data manipulation and retrieval - Automated workflows with Bash scripting and Docker deployments

- Grade: 1.9 (1 = best) - Thesis: Explainable anomaly detection in NGS datasets (feature engineering, ML models, AWS deployment) - Courses: NLP, Computer Vision, Data Warehousing, Distributed Systems

- GPA: 3.8 / 4.0 (4 being best) - Developed semester projects in Java, C, C#, PHP, and Visual Basic