This inventor holds 2 USPTO granted patents. Top assignee: Eugenie Technologies Private Limited. Active years: 2022-2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022-2023
Title: Innovator Shivam Bharadwaj: Pioneering Unsupervised Anomaly Prediction
Introduction
Shivam Bharadwaj, based in Mumbai, India, is a notable inventor who has made significant contributions in the field of technology. With a focus on deep learning and data analysis, he holds two patents that reflect his innovative spirit and expertise in the rapidly evolving landscape of artificial intelligence.
Latest Patents
His latest inventions include two patents on a system and method for unsupervised anomaly prediction. This groundbreaking work is particularly applicable in Internet of Things (IoT) sensor networks and manufacturing execution systems. The system employs an unsupervised predictive GAN model, utilizing multi-layer perceptrons (MLP) to function as both generator and discriminator, demonstrating his forward-thinking approach to machine learning applications.
Career Highlights
Shivam is currently associated with Eugenie Technologies Private Limited, where his advanced research and development efforts contribute to the company's innovative solutions in the tech sphere. His commitment to leveraging deep learning technologies aids in pushing the boundaries of what is achievable within IoT frameworks.
Collaborations
Collaboration is a vital aspect of Shivam's career; he works alongside talented individuals such as Nitish Pant and Abhishek Raj. Together, they foster a dynamic environment that encourages creativity and innovation, ultimately leading to successful technological breakthroughs.
Conclusion
With his profound insights and inventions in anomaly prediction, Shivam Bharadwaj is a valuable asset to the technological community. His work at Eugenie Technologies Private Limited underscores the importance of collaborative efforts in driving innovation, paving the way for future advancements in machine learning and IoT applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile