Maharashtra, India

Akash Baviskar

This inventor holds 3 USPTO granted patents and 5 published patent applications. Top assignee: Oracle International Corporation. Active years: 2024-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Akash Baviskar. Retrieved from https://idiyas.com/inventor/akash-baviskar

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 3 

% Patents Active = 100.0

Average Co-Inventor Count = 2.5

ph-index = 1


Company Filing History:


Years Active: 2024-2026

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3 patents (USPTO):Explore Patents

Title: Akash Baviskar - Innovator in Machine Learning Applications

Introduction

Akash Baviskar is an emerging inventor based in Dist Jalgaon, India. He is focused on developing innovative solutions in the field of machine learning. Although he currently holds no granted patents, his work in patent applications showcases his commitment to advancing technology.

Latest Patent Applications

Akash Baviskar has submitted several notable patent applications. One of his latest applications is titled "Machine Learning Based Spend Classification Using Hallucinations." This invention involves classifying products into various categories by utilizing a trained large language model (LLM). The process begins with receiving a product description and creating a prompt for the LLM, which generates a hallucinated product classification. The classification is then matched with existing product classifications to predict the correct category.

Another significant application is "Machine Learning Based Sales Order Fulfilment Prediction." This invention aims to predict the fulfillment of sales orders by analyzing historical data. It extracts machine learning features from past sales orders and uses these features to train classifiers. A machine learning regression model is then employed to predict delivery dates for new sales orders based on the trained data.

Conclusion

Akash Baviskar is making strides in the field of machine learning with his innovative patent applications. His work has the potential to significantly impact how products are classified and how sales orders are fulfilled. As he continues to develop his ideas, he may contribute valuable advancements to the technology landscape.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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