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SeasonCake/README.md

Hi, I'm SeasonCake

I build evidence-first Data / AI products and developer tools: probabilistic inference, LLM-agent workflows, Windows desktop utilities, and the tests and diagnostics needed to keep them maintainable.

Before moving into software, I spent 2+ years in EHS (Environmental Health & Safety) at CATL-group manufacturing sites, where I built data pipelines, automation scripts, and analytics dashboards for industrial operations.

Current focus: probabilistic inference and calibration, reliable agent tooling, and turning lessons from real products into reusable open-source software.

Active projects

  • BidKing + bidking-inference — BidKing is a maintained private Windows auction assistant that turns incomplete, round-by-round public auction signals into conservative, reference, and aggressive estimates, then supports settlement review. Its public companion provides the domain-neutral inference, calibration, sensitivity, and simulation core, plus reviewed early product code; additional components may open after review.
  • lostcastle2-toolbox — An open-source Windows toolbox for Lost Castle 2: customizable input overlay, foreground-only macros, versioned combat-event contracts, an external combat HUD, and a managed MOD workflow.
  • evidence-first-agent-skills — Four explicit Codex skills for architecture surveys, claim verification, CLI contract review, and fresh-agent compatibility, extracted from real maintenance and release lessons.
  • openclaw-discord-bot — A personal AI assistant on OpenClaw + DeepSeek + Discord, with Python skills for automated EDA and a multi-agent sealed-bid game driven by a finite-state machine.

Working with

Python · pytest · GitHub Actions · PowerShell · Tkinter · C# / .NET · pandas · scikit-learn · SQL / MySQL · Plotly · LLM agents · MCP / Codex skills · Node.js

Earlier work

  • Work_experience_data_analysis — Industrial data tooling distilled from real CATL-group work, including contractor onboarding automation and hazard-risk analytics with 3D response surfaces.
  • IBM-Data-Science-Capstone-SpaceX — Falcon 9 first-stage landing prediction: API and web data collection, SQL/Pandas EDA, Folium/Plotly visualization, and cross-validated classifier comparison.
  • EHS data systems (2022–2024) — Risk-monitoring dashboards over 4,500+ hazard records, contractor onboarding reduced from two days to seconds, and industrial compliance analytics.
  • Credentials — IBM Data Science Professional Certificate and Meta Database Engineer Professional Certificate.

Reach me

GitHub projects · Bilibili · LinkedIn · [email protected]

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