DS With Reddy

Successfully designed and led the development of an end-to-end autonomous email processing system for AP invoices, accounts payable, customer collections, and AR remittances. Built expert-based confidence scoring with feedback loop mechanisms, enabling models to learn from user interactions and evolving data patterns while reducing manual intervention by 85%.

Leveraged OpenAI GPT models and other LLMs to develop comprehensive solutions for invoice data extraction, multi-class email classification, and structured document parsing. Engineered production-ready vision models for comprehensive document analysis including logo detection, signature verification, date recognition, and checkbox identification on invoices and W9 tax documents.

Empowered small and medium dairy farmers in India by governing financial and cattle management associated with Computer vision-driven projects. Skillfully implemented muzzle matching status and devised a Cow health index using advanced data analysis techniques.

Engaged in intricate data management and profound analysis within the realm of life sciences, specifically focusing on gene and protein data within the intricate MICROBIOME domain. Effectively harnessed the capabilities of AZURE Cloud for comprehensive data management.

Spearheaded a Machine Learning research project focused on anomaly detection in financial transactions, leveraging advanced ensemble techniques to enhance fraud detection accuracy and mitigate financial risks. Led a Deep Learning research initiative aimed at semantic image segmentation, where convolutional neural networks were tailored to precisely identify and label objects within medical images.

Activities and societies: Researcher & Student

Completed a Post Graduate Program Diploma in Data Science & Analytics, focusing on research and practical application. This program provided a strong foundation in data analysis and machine learning principles.

Grade: 70%

Earned a Bachelor of Technology in Information Technology Engineering, gaining comprehensive knowledge in IT principles and applications. Achieved a strong academic performance with 70% from the university.