Abhimanyu Kumbhar

Designed an asynchronous system for AI-driven transaction categorization, achieving 85% tagging accuracy, reducing manual classification efforts, and enhancing financial data insights. Developed an app consolidating US state-specific entity registrations, automating compliance workflows and cutting regulatory effort by 70%. Developed features for autopay using credits and scheduled payments via Stripe, increasing payment compliance and customer retention. Engineered a scalable, feature-rich invoicing tool with public sharing and dynamic views, decreasing invoice-related queries by 40%, streamlining processing time. Created a Notion-like backend for managing custom input and automated email updates using PostMark, enhancing investor communication efficiency by 25%. Integrated Twilio webhooks for call management, reducing resolution time by 35% and enhancing efficiency. Improved test coverage by 40%-70% and optimized Django models with PostgreSQL and Redis caching.

Built a high-performance Video Extraction in Java using the ffmpeg library, enhancing video processing by 70%. Developed data parsing tools for JSON to XML conversion, increasing client processing efficiency. Used Azure services to manage and process video uploads, optimizing cloud storage and processing workflows.

Implemented authorization and scheduling features for Google Meet, Zoom, MS Teams into the web app. Developed server-side components using NodeJs, PostgreSQL, streamlining data flow, improving performance.

Developed a Quantum Computing based library quantumcat using Python. Achieved objective of library - code in quantumcat library and execute it on any quantum computing hardware.