Madiha Shaikh

Develop and integrate AI and computer vision models for real-time perception and automation systems. Build and maintain machine learning pipelines using Python and PyTorch for processing image, video, and sensor data. Convert trained models to ONNX format and deploy them on NVIDIA Inference Server for scalable GPU-accelerated inference. Implement gRPC and REST APIs to connect AI models with applications and system components. Process and analyze RGB, depth, and point cloud data for 3D perception and obj

Responsibilities: • Supported the development and maintenance of investment platforms and admin dashboards using both Java and Python. • Promoted seamless communication and teamwork between development and operations teams within a structured Scrum process. • Established automated CI/CD pipelines for code integration, testing, and deployment using GitLab, and Docker. • Implemented backend code and APIs in both Java (Spring Boot) and Python (Flask/Django), ensuring robust and scalable applications

Key Skills: Deep Learning, Data Warehouses, Information Retrieval, Computational Thinking, Data Mining, Brain-Computer Interfaces. Extending Exemplar-Based Image Inpainting Techniques to Video Sequences: 04/2024 - present • Developing advanced algorithms for video inpainting using