I believe the intersection of AI × Crypto is where the hardest, most meaningful problems live.

I build because I want devs and small teams to own their models, their data, and their infra — not rent them behind black-box APIs.
I care about making AI local, auditable, and fast — and crypto the backbone of trust and verifiability.

So I’m shipping:

• Yudai v3 — a programmable codex that turns product context into testable GitHub issues and PRs — crypto-native and local-first.
• solo-server — run open LLMs like Qwen and DeepSeek on your own machine, no middlemen.
• DeepSeek-R1 Distillation — proving reasoning doesn’t need massive clouds — just smart research + open hardware.

I’m here to help builders stay independent — and to push AI and crypto to serve people, not gatekeepers.

• Llama Impact Grant Winner — recognized for pushing open-source AI tooling (announcement)
• solo-server OSS Maintainer — powers 300+ indie dev deployments for local LLMs
• Yudai v3 — cloud-native + local codex chaining PM → Architect → Coder agents to ship test-first PRs
• Kernel KB8 Founder & Community Mentor — Gitcoin’s top 50 global founder cohort driving AI × Web3 innovation
• Web3 Infra Contributor — protocol tools for Mode, FortyTwo Money, EigenLayer, MegaETH testnet
• Finalist, MEGAZU Pop-up City — prototyping cutting-edge Web3 infra
• National-Level Hackathon Mentor — 50+ teams; winners at Smart India Hackathon & Prayatna 2.0 (AITR)
• Petabyte-Scale ETL @ CoinSwitch — Spark & Airflow for ML + risk pipelines
• Vgyaan (pre-GPT) — BERT-powered edtech that resolved 120k+ student questions/night
• I ship → learn → repeat 👷‍♂️ → 🚀

Core papers & concepts shaping Yudai v3 and my agentic stack:

• DeepSeek-R1 — RL + “bag-of-narratives” distillation for efficient reasoning

• Reinforcement Learning with Verifiable Rewards — provable reward guarantees for reasoning agents

• Absolute Zero Reasoner — pushing zero-shot/zero-reasoning capability in LMs

• SWE-smith & debug-gym — scaling bug synthesis + tool-augmented SWE agents

• LLM → SLM Agent Conversion — turning generalist LLMs into specialist SLMs for codex workflows

• NoFeeSwap Yellow Paper — zero-spread AMMs & liquidity design (I’m prototyping this in Solidity)

• Qwen3 Technical Report — architecture, training, and evals for the Qwen3 family

• FlashAttention-3 — exact attention with warp-group asynchrony + FP8/FP16 paths on H100

• The Ultra-Scale Playbook (Hugging Face) — systems/org patterns for large-scale LLM training

• Smol LM Training Playbook (Hugging Face) — practical recipes for small/efficient LMs

• LIMI: Less is More for Agency — simplifying agent stacks while retaining capability

• Accurate predictions on small data with a tabular foundation model (Nature, 2025) — TabPFN for few-shot/small-data tabular learning

• Barbarians at the Gate: How AI is Upending Systems Research — perspective on AI’s impact on systems research

• Yudai v3 — invite-only pilot cohort rolling out now
• solo-server upgrades — smaller, faster, edge-ready models
• New Codex Agents — task-specialized SLMs, verifiable rewards, test-first PR workflows