Dex HunterAgents · London

Optimizingtheoptimizer.

I build recursively self-improving AI agents.

I'm Dex, a Member of Technical Staff at Weco AI (London, UK). My agents write code, test it against a benchmark and keep what scores better. I co-authored AIDE, the tree-search ML agent OpenAI used in MLE-bench, and AIDE², which runs that loop on AIDE's own code. I also built the research agent that set seven records in OpenAI's Parameter Golf.

Portrait of Dex Hunter
PathBlockchain infrastructure, then distributed ML, now self-improving research agents
  1. 2016-18XJTLUResearch assistant; deep RL for portfolio management
  2. 2018-24HyperledgerIntern, then Fabric Python SDK maintainer
  3. 2019-20NTU · Zhejiang U.Private ML at the IoT edge
  4. 2020-21HKBUAll-reduce for distributed training
  5. 2022-24Hex TrustTrading backend in Rust and Go
  6. 2024-nowWeco AIAI research consultant, then Member of Technical Staff
Languages
PythonRustGoTypeScriptC
ML & agents
PyTorchLLM agentstree searchevals
Infrastructure
KubernetesTerraformNginxHorovod
Agent tooling
HarborLangChainDeep AgentsPi
Proof

Numbers anyone can check on GitHub.

59

open-source projects with my merged code

180+

merged pull requests

7

records in OpenAI Parameter Golf

4.3k

stars on seedance2-skill

Cited, used or merged by
Selected work

Agents that keep working
after I close the laptop.

Weco AI · co-author · 2026

AIDE²

An outer agent rewrites AIDE's own code and keeps a rewrite only when it scores higher on held-out tasks. In an eight-day unattended run it found seven successive improvements, and the strongest discovered agent matches or beats the hand-tuned production agent on four held-out benchmarks.

  • first evidence of recursive self-improvement
  • reward hacking 55% → 32%
Weco AI · co-author, co-maintainer

AIDE

Tree search over code: draft, run, debug, improve, keep the best.

  • 1.6k stars
  • top scaffold in OpenAI's MLE-bench paper
OpenAI challenge · 2026

Seven records in Parameter Golf

Best language model in 16 MB and 10 minutes of training. My research agent ran for 22 days, filed 25 PRs of its own and set twice as many records as the best human, out of 1,016 entrants.

  • cited 435 times by other entrants
Agent skill · 2026

seedance2-skill

Turns a rough idea into a production prompt for the Seedance 2.0 video model.

4.3k stars · 347 forks
Developer tool · 2026

Vibe Clock

WakaTime for coding agents: tracks Claude Code, Codex and OpenCode, renders SVG cards for your profile.

Python · SVG · Homebrew
Linux Foundation · 2018-24

Fabric Python SDK

Maintainer of Hyperledger's Python SDK. Ran the v0.7 release, mentored two internships and interned on Cello.

Maintainer · release manager
Open source

Approved by maintainers.

Speed and correctness fixes to other people's projects. Many recent ones were written by the agents I build at Weco AI, and each went through the maintainers' normal review.

16 of 59 projects shown, by stars. Full list on my GitHub profile.

Highlights

  1. Seven agent runtimes

    Performance fixes in openclaw, AutoGPT, goose, Qwen Code, Pydantic AI, agno and BAML.

  2. Evolutionary search

    Cut redundant AST parsing in Sakana's ShinkaEvolve and bounded shutdown latency in OpenEvolve.

Papers, talks, awards

Papers and talks.

Publications

  • 2026 · arXiv · AIDE²Recursive Self-Improvement of AI Research AgentsarXiv 2609.26457
  • 2025 · arXivAIDE: AI-Driven Exploration in the Space of CodearXiv 2502.13138
  • 2020 · IEEE Internet of Things Journal · first authorLightweight and Unobtrusive Data Obfuscation at IoT Edge for Remote InferenceDOI 10.1109/JIOT.2020.2983278
  • 2019 · ACM AIChallengeIoTChallenges of Privacy-Preserving Machine Learning in IoTDOI 10.1145/3363347.3363357
  • 2017 · arXivA Deep Reinforcement Learning Framework for the Financial Portfolio Management ProblemarXiv 1706.10059

Talks

  • 2026 · AI Engineer World's Fair, San FranciscoHands-on AutoResearch: Cracking OpenAI's Parameter GolfWorkshop with the Weco AI team
  • 2024 · Network School, first cohortAlgorithmic Trading WorkshopSlides
  • 2019Deep Learning for Power System Security AssessmentSlides
  • 2019Introduction to Hyperledger FabricSlides

Selected awards

  • Dev bounty winner, Network School (Farcaster social-graph visualiser), 2024
  • Special Prize (US$10,000), Wanxiang Blockchain Hackathon by Qtum, 2018
  • 1st Prize, EOS Hackathon Hangzhou (team), 2018
  • 1st Prize of 70+ teams, Hack x FDU, 2017
Get in touch

Felix, qui potuit rerum cognoscere causas.

Lucky is the one who has learned the causes of things. Virgil. It's also my GitHub bio.

Write to me about self-improving agents, evals, research infrastructure or an open-source project you want faster.

i@dex.moe Read the full CV