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Siddharth Kharwar
Full-stack dev: React, Node, & Bots. Let’s build.
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The Unassisted Video Customer Identification Process (VCIP) is a fully automated digital identity verification solution that allows users to complete KYC remotely without a live agent.
It uses AI, liveness detection, and secure integrations to verify identity through video, ID capture, and biometric matching. The system guides users through permissions, data entry, document validation, and a real-time video session with PIN and face checks. AI-powered OCR extracts data from IDs, while facial recognition ensures identity consistency and fraud prevention.
This approach improves user experience, reduces operational costs, and enables faster, scalable onboarding. Overall, it delivers a secure, compliant, and self-service verification process for businesses and users.
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Developed a cutting-edge resume parsing application that leverages the power of Large Language Models (LLMs) to extract information from resumes with superior accuracy compared to traditional Optical Character Recognition (OCR) methods.
Key Features:
LLM Driven Extraction: Utilized advanced LLMs to intelligently understand and interpret the semantic meaning within resumes.
Structured Output: Transformed unstructured resume data into a clean, structured format for easy integration with Applicant Tracking Systems (ATS), databases, and other HR software.
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Built DocuPow, an AI-powered document processing and audit platform that automates data extraction, validation, and workflow management.
The system streamlines high-volume document handling with intelligent search, structured data pipelines, and real-time status tracking reducing manual effort and improving accuracy for business operations.
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