AI Systems Researcher | Blockchain Architect | Author
I solve the trust problem in AI—creating systems that are private, decentralized, and legally compliant. From planet-scale knowledge retrieval to copyright-compliant generative AI, my work bridges theoretical innovation with production-ready solutions.
Industry Background: Technical architect at major tech companies + Published Author of an early Nginx Cookbook.
🔐 Viz: Copyright Marketplace
QLoRA-based framework solving IP compliance for generative AI
⚖️ FairFlow Protocol
MEV mitigation framework making Ethereum more equitable
🌐 Planet-Scale Answer Retrieval
LLM-powered knowledge systems at planetary scale
🛡️ Decentralized Deepfake Detection
Blockchain-based content authenticity verification
Privacy-Preserving AI • Federated Learning • Blockchain Consensus
Distributed Systems • Cryptographic Protocols • Edge Computing
🎓 Academic Partners
Joint research on AI ethics, distributed ML, consensus mechanisms
🏢 Industry Projects
Technical advisory, prototype development, production architecture
💡 Open Source
All research published openly—contribute, fork, or build upon
Let's Build Together
🌐 dipankar.cc | 📧 Open for technical collaboration & research partnerships
"Making AI systems you can actually trust."