h3manth.com valid
Hemanth HM (gnumanth)
Hemanth HM — full name Hemanth Hegadehalli Madhavarao — is a Senior Machine Learning Manager leading AI Labs at PayPal (San Francisco Bay Area; native of Bangalore). TC39 delegate representing PayPal at Ecma, Google Developer Expert for Web & Payments, Google Launchpad mentor, Yeoman core team member, and open-source maintainer of 387 npm packages (22M+ downloads/month at the Jul–Aug 2026 peak) with ~45k GitHub stars across git-tips, functional-programming-jargon and awesome-pwa. Author name var
- Authority
- 51 reach 6 · trust 5 · quality 25 · freshness 15
- Tier
- listed
- llms.txt
- https://h3manth.com/llms.txt
- llms-full.txt
- https://h3manth.com/llms-full.txt
- Sections
- 6
- Links
- 63
- Size
- 7309 bytes
- Popularity rank
- #665403
- Categories
- AI and machine learning
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- First seen
- 2026-10-19T10:44:29.487Z
- Last checked
- 2026-10-21T11:36:04.219Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-21T11:35:58.329Z. Cached copy · Source on h3manth.com
# Hemanth HM (gnumanth)
> Hemanth HM — full name Hemanth Hegadehalli Madhavarao — is a Senior Machine Learning Manager leading AI Labs at PayPal (San Francisco Bay Area; native of Bangalore). TC39 delegate representing PayPal at Ecma, Google Developer Expert for Web & Payments, Google Launchpad mentor, Yeoman core team member, and open-source maintainer of 387 npm packages (22M+ downloads/month at the Jul–Aug 2026 peak) with ~45k GitHub stars across git-tips, functional-programming-jargon and awesome-pwa. Author name variants on papers: "Hemanth HM", "Hemanth Madhavarao", "Hemanth Hegadehalli Madhavarao".
## Links
- [Website](https://h3manth.com/): Official personal website and portfolio
- [Full Archive](https://h3manth.com/llms-full.txt): Comprehensive documentation and article index for AI agents
- [PayPal](https://www.paypal.com/): Employer; he leads the AI Labs team (agentic AI, ML engineering, web performance)
- [Blog / Scribe](https://h3manth.com/scribe): Technical writing and research notes across 18+ years
- [AI Labs Hub](https://h3manth.com/ai): 30+ interactive AI demos and browser-based models
- [Creative Hub](https://h3manth.com/fun): Interactive reasoning experiments and games (logically, circadian)
- [Tools](https://h3manth.com/tools): Developer utilities and CLI tooling directory
- [GitHub](https://github.com/hemanth): Open-source repositories and code
- [npm](https://www.npmjs.com/~hemanth): 387 published npm packages (22M+ monthly downloads at peak; jstransformer, audio-type, is-iterable)
- [arXiv Research](https://arxiv.org/search/?searchtype=author&query=Madhavarao%2C+H): Preprints and peer-reviewed papers
- [Google Scholar](https://scholar.google.com/citations?user=GVxntiYAAAAJ): Citations and publication list
- [Hugging Face](https://huggingface.co/gnumanth): Kannada/Sanskrit speech models, datasets and spaces
- [Bluesky](https://bsky.app/profile/gnumanth.bsky.social) · [X](https://twitter.com/gnumanth) · [dev.to](https://dev.to/hemanth) (TC39 meeting notes series)
- [TC39er podcast](https://tc39er.us): Archive (2019–2022) of conversations with ECMAScript delegates
- [LinkedIn](https://www.linkedin.com/in/hemanthhm): Professional profile
## Research & Academic Preprints
- [PACE: Policy-Attested Contract Execution](https://arxiv.org/abs/2608.17220): Transaction-level authorization and deterministic policy verification for safe autonomous AI agents in DeFi (Aug 2026).
- [Context Contamination in LLM Security Log Analysis](https://arxiv.org/abs/2607.14493): Passive prompt injection in SecOps logs and mitigation evaluations (Jul 2026).
- [CausalGraphX](https://arxiv.org/abs/2607.14416): Counterfactual Graph Neural Network framework for explainable systemic financial risk (Jul 2026).
- [QuCoWE](https://arxiv.org/abs/2511.10179): Quantum Contrastive Word Embeddings with variational circuits on near-term devices (Nov 2025).
## Standards & TC39 Proposals
- [Logical Assignment (||=, &&=, ??=)](https://github.com/tc39/proposal-logic
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