DeepResume
A CV-to-offer workspace connecting resume evidence, target JDs, learning plans, and career proof.
A programmer focused on AI applications, agent tooling, and developer efficiency — also an ACG enthusiast who enjoys running, fitness, and CTRL. I turn vague ideas into working systems and document projects, notes, and verification here. Open to directions beyond any single role.
Projects with source links, verification evidence, and explicit limitations.
A CV-to-offer workspace connecting resume evidence, target JDs, learning plans, and career proof.
A local-first paper research workspace for PDF reading, page-linked retrieval, and citation-grounded answers.
A multi-tier image understanding and OCR skill for coding agents, with fallback candidates and safe configuration boundaries.
A subtitle-first media distillation tool separating one-off URL work from reusable CLI workflows.
Capability groups backed by public project evidence, not a badge wall.
RAG / PDF / Paper / Resume / Agent
Skills / CLI / OCR / Media / Automation
Testing / Validation / CI / Observability / Safety
From facts to systems, then to evidence you can inspect.
Verify claims against repos, issues, and run logs; label conclusions by evidence.
Turn repeated work into reusable skills, CLIs, and scripts with reviewable artifacts.
Ship test evidence (pytest, Golden Datasets), known limits, and next steps.
Recently published notes with sources, evidence, and open questions.
From a real need (wiring a Codex relay station into pi) through per-model probing, skill generalization, npm publishing, and pi.dev listing — with six reproducible pitfalls including npm 2FA and marketplace index lag.
A practical beginner manual covering Agent Skill concepts, structure, setup, authoring, debugging, and reuse.
A structured guide to Git version control, GitHub collaboration, branches, commits, merges, and practical workflows.
An engineering walkthrough of Pi, from its npm monorepo and model abstraction to the agent loop and session storage.
Keeping the reasoning, validation, and boundaries behind the projects.