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United States
10+ years of experience
Profile: Nikhil Shah Nikhil Shah is a technology evangelist and founder of Cilans Systems and GranthAI, with over 27 years of global experience in GenAI, Data Science, Blockchain, and Digital Transformation. Worked in domains including FinTech/BFSI, Telecom/Media & Ent, Supply chain, Professional services, Pharma/Healthcare, Transport/Security/Surveillance, and Research Community. Prior to Cilans, worked with organizations like Cisco, Juniper Networks, Lucent/Bell Labs, Cabletron, TCS, Crest Data Systems and ISRO. Worked in the USA for 12+ years and have exposure working/traveling to numerous APAC, Middle East, and European countries Technology Domains: Gen AI, Agentic AI, Data Science, ML/DL, Blockchain / multi-chain smart contracts, RPA, Data communication/2G-5G wireless networks, Cloud Computing, IoT, Digital Transformation and Software/IT development lifecycle. Conducted 100+ Corporate and Academic training/seminars for topics in emerging technologies. Specialized in Product and Strategy Consulting (PoC – Proof of Concept Development) Public speaking at various Global events/conferences including CTIA (USA), FICCI (Mumbai), CII (Delhi), 5G Leadership Congress (Delhi), Informa, World Telecom Summit (Singapore), IDC Summit, Connecting Next billion (Indonesia), SDN-NFV India Congress(India), ASSOCHAM ‘s Artificial Intelligence Conference, Carrier World Asia (Hong Kong) etc. Co-founded Tensorplace as part of IBM-Columbia Uni accelerator (NY) to promote blockchain-enabled ML marketplace. India Ambassador for Broadband Forum, a leading Global Telecom standard Body Nikhil holds advanced credentials from Stanford, MIT Sloan (Executive Management program), and Bachelor's and Master's degrees in Computer Science from India (VJTI, LDCE). Deeply engaged with www.vfw.life (Violence Free World) initiatives. [email protected] https://in.linkedin.com/in/shahnikhil

Across libraries, temples, research institutions, trusts, and private collections worldwide, millions of valuable books, manuscripts, journals, and archival documents exist only in degraded PDF or scanned formats. These documents often suffer from yellowed pages, faded text, stains, stamps, handwritten markings, shadows, skewed scans, low resolution, blank pages, and inconsistent formatting, making them difficult to read, preserve, search, or distribute digitally. Despite the growing importance of digital preservation and AI-driven knowledge accessibility, there is currently no scalable and user-friendly platform specifically designed to transform poor-quality archival PDFs into clean, digitally optimized documents while preserving their authenticity. This project aims to build an advanced AI-powered web platform that automatically converts old, damaged, stamped, noisy, or low-quality PDF documents into clean, publication-ready digital PDFs. The platform will enhance readability, remove unwanted artifacts, eliminate blank pages, correct orientation and alignment issues, improve contrast and sharpness, and optionally remove institutional stamps through AI-assisted or manual review workflows. Beyond PDF cleanup, the vision is to create a digital restoration ecosystem that empowers libraries, scholars, publishers, spiritual organizations, and archival institutions to modernize valuable knowledge into accessible, searchable, and professionally presentable digital assets. The proposed system will combine image processing, OCR enhancement, AI-based document restoration, and intuitive web workflows to make large-scale digitization practical, affordable, and accurate. Ultimately, this initiative seeks to bridge the gap between historical knowledge preservation and modern digital accessibility, ensuring that invaluable cultural and intellectual heritage can be preserved and utilized for future generations.
10 May 2026