Divya Srivastava is a passionate researcher in the fields of Machine Learning, Deep Learning, Computer Vision, Document Image Analysis, and Biometrics. She has currently submitted her PhD thesis at the Department of Computer Science and Engineering, Indian Institute of Technology (IIT) Jodhpur. She has a strong technical background, with proficiency in Python, C, and machine learning libraries such as TensorFlow and Keras.

Jaspreet kaur is a working professional in the field of cyber security. She has knowledge in Network security, Blockchain security, IoT security, ML security and App security and has several years of experience as a researcher, faculty mentor, content writer. She is associated with SPUP Jodhpur and She has experience in IIT Jodhpur and HBTU Kanpur. She has keen interest in cyber AI about, how ML can help to secure our data? Does ML also need security ? How ML can be used as offensive and defensive purpose ?

Suryakant is a Lead Data Analyst with expertise in data collection, organization, and analysis. Skilled in extracting, manipulating, and modeling data using tools like Excel, Python, SQL, and Power BI. Experienced in database maintenance, report creation, and ensuring data accuracy to support business decisions.

At Golden Vishwa, we empower individuals through holistic personality development. Our programs focus on self-discovery, communication, and emotional intelligence, helping you build confidence, strengthen relationships, and achieve success.

Government Women Engineering College Ajmer holds the privilege of being the first Government Engineering College for Women in north India. The Honourable Chief Minister laid the foundation stone of this college on 30th April 2007. The college is acting as a pedestal to explore the hidden talent for technical and managerial excellence among the students.

Our mission is to democratize high-performance CFD simulations by making them faster, more affordable, and accessible across industries. By utilizing GPU acceleration, we provide a solution that reduces computational costs while delivering highly accurate simulations.