Anil Panwar

About Anil Panwar

Seasoned Digital Transformation Manager adept in orchestrating seamless integration of cutting-edge technologies like Document Processing, RPA, Speech Analytics, and OCR. Proven track record of driving efficiency, accuracy, and innovation across diverse industries. Skilled in crafting strategic solutions that optimize processes and elevate organizational performance. Project: DocStart (Intelligent Document Processing Tool) AI Enabled Features like Auto data Extraction, Name-Entity Extraction, Pre-Processing Techniques, Tabular data Extraction. OCR (Optical Character Recognition): Converts scanned documents, PDFs, and images into editable and searchable text. Document Conversion: Ability to convert documents from one format to another (e.g, PDF to Word, PDF to Excel). Data Extraction: Automatically identifies and extracts key data fields such as names, addresses, dates, and more from documents. Document Classification: Categorizes documents based on predefined criteria or machine learning algorithms. Data Validation: Verifies extracted data against predefined rules or databases to ensure accuracy and completeness. Language Support: Supports multiple languages for OCR and data extraction, enabling processing of documents in various languages. Integration: Seamless integration with other software systems such as content management systems (CMS), ERP, or CRM platforms. Automation: Automates document processing tasks to reduce manual intervention and increase efficiency. Project: AI-ChatBot Question and Answering AI chatbot is utilized to interactively ask questions and provide answers based on prompts generated from PDF files. Leveraging natural language processing (NLP) algorithms, the chatbot processes the content of the PDF files to generate relevant questions or prompts. Users engage with the chatbot by responding to these prompts, and the chatbot dynamically adjusts its responses based on user inputs and the information extracted from the PDF files. This approach enables efficient and interactive information retrieval, facilitating seamless access to relevant content contained within the PDF documents. Project: CallMagos Speech Analytics I have extensive experience in speech analytics, where I contributed to developing Speech-to-Text (STT) solutions, implementing call categorization algorithms, generating call summaries, conducting sentiment analysis, and providing call recommendations based on analysis. These efforts aimed to enhance customer interactions, streamline call center operations, and drive actionable insights from voice data.

Experience

1. Engineering Manager

   Archipelago

   Aug 2025 — Present