Building the world’s cheapest content distribution & monetization ecosystem — AI-native publishing, agentic workflows, courses & digital assets.
// 00 · Building
Dhanur Content OS turns research into shorts, longform, PDFs, courses, and digital assets — distribution, funnels, and monetization run by agentic workflows, so a tiny team ships studio-grade volume across 30 brands at the lowest cost structure in the market.
Shorts, longform, PDFs, and courses rendered from a single content pack — branded, captioned, and AI-disclosed.
Research, generation, review, and publication orchestrated by AI agents, with human approval on anything that matters.
Free lead-magnet → low-ticket asset → high-ticket course. Owned products and audiences — no ad dependency.
A portfolio of vertical publishers — real estate, law, finance, startups, and more — each its own mini-business.
// 01 · About
I'm building the world's cheapest content distribution and monetization ecosystem — AI-native publishing, agentic workflows, courses, and digital assets across 30 brands in English and Hindi.
I have led engineering as CTO and technical lead across AI, security, and Web3 ventures spanning India, Singapore, the United States, and the United Kingdom — designing research, building teams, and turning frontier ideas into deployed products.
My current focus is autonomous multi-agent systems: frameworks that research, generate, review, and publish content end-to-end, now extending into multi-modal pipelines for images, short-form video, and full animated series.
“Great leaders know one thing: they don't know everything.”
“I speak math, probability, and occasional human languages.”
What I do
Stack
// 02 · Work
Production systems across AI and Web3 — from edge-deployed vision models to on-chain risk engines and multi-agent pipelines.
Developed a high-speed facial recognition attendance system using a modified FaceNet combined with a facebox detector, optimized for edge deployments to ensure robust security and streamlined attendance tracking.
Engineered a real-time posture correction and repetition counting solution using OpenPifPaf, quantized to 8-bit for TensorRT on mobile edge devices, enabling accurate exercise guidance.
Customized and quantized MobileNetV2 to optimize training and inference for fish-eye camera systems, enabling real-time people tracking and threat-based object detection.
Built an automated scoring engine to streamline machine learning hackathon evaluations, ensuring fair and efficient project assessment.
Deployed hyperspectral imaging on Jetson Nano edge devices to assess crop health and soil moisture, optimizing irrigation strategies and promoting sustainable agriculture.
Engineered a vision-based solution for rapid fire and threat detection, leveraging on-premise and edge deployments to significantly enhance safety protocols.
Created a dynamic itinerary generator that uses multi-head genetic algorithms with conditional filtering and retrieval-augmented generation (RAG) from YouTube and Instagram content to deliver personalized travel recommendations.
Leveraged advanced speech recognition and synthesis technologies (OpenAI Whisper and Gemini Pro) to develop engaging, gamified language training modules with an interactive AI teaching assistant.
End-to-end lifecycle management — prompt versioning, agents, logging, and evaluation across models.
Fine-tuned large language models for personalized, knowledge-based retrieval-augmented generation (RAG) and an automated ticketing system to enhance customer support.
Deployed multi-modal LLMs to generate engaging children's storybooks with animated sequences and enhanced character seeding for consistency, blending creativity with artificial intelligence.
Developed a comprehensive multi-agent framework (inspired by CrewAI and Pydantic AI) for content creation — integrating research, generation, review, final edit, and publication — with a central shared API repo and automated ticketing, now extending into multi-modal images, videos, and animated series.
Designed sophisticated risk models for protocols such as Aave and Curve, enabling real-time detection of liquidity pool discrepancies through on-chain data analytics.
Created an automated trading engine featuring single- and multi-range rebalancing and comprehensive backtesting for technical indicators (e.g., Bollinger Bands, RSI) to optimize strategies on Uniswap V3.
Developed an EVM-based marketplace facilitating asset renting, staking, and resale, driving innovation in the tokenization of real-world assets.
Engineered smart contracts for NFT-based music rights, enabling fractional ownership (via ERC20) and efficient royalty management, revolutionizing the music industry.
Forked and enhanced Instadapp's composite DeFi wallet to incorporate account abstraction and multi-wallet management with DSA-refined permissions, elevating user control in decentralized finance.
Created EVM smart contracts to support token allocation, staking rewards, and marketplace transactions for agricultural assets via native project tokens, fostering innovative farm-to-table solutions.
Integrated multiple data sources — trading indicators, social-media sentiment, signal-based APIs, Telegram channels, and macro factors — across protocols to optimize portfolio management and drive efficient automated trading strategies.
Executed deployments of decentralized exchanges using UniswapV3-style EVM contracts, ORCA-style contracts in Rust, and custom JavaScript-based blockchain solutions.
Implemented custom DAO solutions on Solana, featuring realms contracts with multisig and weighted voting rights to enhance decentralized decision-making.
Developed native web3 gaming contracts (and a framework for migrating web2 games to web3) plus a Multi-Party Computation (MPC) wallet for account abstraction, social logins, and interoperability.
Built secure EVM contracts featuring access control, EIP-712 compliant off-chain signature verification, IPFS storage, and Merkle proofs to enable transparent logging and auditing.
// 03 · Path
India
India
Singapore
USA
Singapore
India
India
Scotland
Delhi, India
// 04 · Recognition
Publications
Uniswap V3 Technical Analysis
Credmark
Streamlining Choice of CNNs and Structure Framing of Convolution Layer
Springer
ALGOSAGE: An Introduction to Liquidity Providers & Backtesting Engines
ResearchGate
Bridging the Gap in COVID-19 X-ray Datasets: Stable Diffusion-based Synthetic Image Generation for Enhanced Diagnosis
JCRES
Enhancing Cloud Analytics with ZSEARCH: A Generative AI Chatbot for Real-Time Insights
ResearchGate
Awards
National AI Merit Award for Multi-Agent Systems Research
2024Confederation of Indian Industry (CII)
Contribution Award
2024Awarded by Delhi CM Ms. Atishi — recognized for contributions and recruitment efforts at GGSIPU
Scholarship for Higher Education (SHE)
2011Issued by CBSE, India — awarded to the top 1% in science nationally
// 05 · Cadence
// 06 · Contact