Building Scalable Data Pipelines, AI-Powered Systems, and Next-Gen Applications
Seeking new opportunities, I am a seasoned Data Engineer, Generative AI Developer, and Full-Stack Specialist with 7+ years of remote work experience. My expertise spans data engineering, machine learning, large language model (LLM) integration, and full-stack development, enabling scalable, end-to-end solutions.I excel at building efficient ETL pipelines, designing AI-driven architectures, and transforming raw data into actionable insights. With a strong foundation in data processing, cloud computing (AWS, GCP, Azure), and real-time analytics, I ensure optimized performance and scalability.Additionally, I have hands-on experience with 3D Web Technologies, AR/VR, and blockchain development, creating immersive and interactive digital experiences. My ability to seamlessly integrate AI, data, and full-stack technologies makes me a valuable asset in AI-driven and data-centric environments.
Pankaj | Data Engineering, AI & Full-Stack Innovation
Pankaj | Data Engineering, AI & Full-Stack Innovation
Models, a fundamental component of the Django framework, hold a central position in its architecture. Following Django’s design principles for models is essential. This involves maintaining explicit naming and functionality within our fields and encapsulating all relevant model functionality within the model itself, rather than dispersing it elsewhere—a core tenet of Django’s design philosophy. If…
This snippet showcases a Modal component with customizable features. The inclusion of showCloseButton as a prop allows for dynamic control over the display of the close button, and within the Modal, distinct child elements like title, contents, dismiss button, and action button contribute to a modular and customizable design. As we delve into the details…