Madiha Shaikh

implementing production-grade AI pipelines for real-time applications Working with RGB, depth, and RGB-D camera systems for data acquisition, synchronization, and preprocessing Deploying AI models using PyTorch, ONNX, and NVIDIA Inference Server Building services and APIs (REST / gRPC) to integrate AI models into larger systems Optimizing inference performance for real-time processing Handling 3D data representations such as depth maps and point clouds for perception tasks

Implemented CI/CD pipelines using Jenkins, GitLab CI, or GitHub Actions, integrating Docker for deployment of Python applications. Developed Python automation scripts to streamline operational tasks and ensure process efficiency. Maintained comprehensive documentation for configurations, processes, and procedures, ensuring accessibility and accuracy for the team.

Built and maintained web applications with responsive design and a focus on user experience. Worked on web development projects using popular frameworks like Django or Flask. Utilized databases (e.g., MySQL, PostgreSQL) for data storage and retrieval. Optimized database queries and ensure data integrity. Designed and implemented RESTful APIs for seamless communication between different components of the system, and Set up and configure CI/CD pipelines for automated building, testing, and deployment

Key Skills: Deep Learning, Data Warehouses, Information Retrieval, Computational Thinking, Data Mining, Brain-Computer Interfaces.

Key Skills: Mathematics, Programming, Algorithms, Database Management, Artificial Intelligence, Neural Networks, Fuzzy Logic