feat: builder 简历生成 + 轻度优化 + 简历导入交付副本

自内部仓库剥离深度优化与 RAG 知识库后的交付版本：
- Builder 对话式简历生成（FSM + 意图路由 LLM 兜底增强）
- 条目级轻度优化：事实覆盖门禁 + STAR/bullet 修复链，功能/简介/成果与技术栈同级保护
- 简历导入：DOCX/PDF 解析、结构归一、手机号脱敏
- PostgreSQL 运行时 + Alembic 迁移链

Co-Authored-By: Claude <noreply@anthropic.com>

backend/app/text_normalization.py

@@ -0,0 +1,26 @@
+"""Small display-text normalizers for model and persisted proposal content."""
+
+from __future__ import annotations
+
+import re
+from typing import Any
+
+
+_LITERAL_UNICODE_ESCAPE = re.compile(r"(?<!\\)\\u([0-9a-fA-F]{4})")
+
+
+def decode_literal_unicode_escapes(value: Any) -> Any:
+    """Decode only literal ``\\uXXXX`` sequences accidentally returned as text.
+
+    JSON parsing normally handles Unicode escapes. This is deliberately narrow so a
+    user-entered path or other ordinary backslash content is not reinterpreted.
+    """
+    if isinstance(value, str):
+        return _LITERAL_UNICODE_ESCAPE.sub(
+            lambda match: chr(int(match.group(1), 16)), value
+        )
+    if isinstance(value, list):
+        return [decode_literal_unicode_escapes(item) for item in value]
+    if isinstance(value, dict):
+        return {key: decode_literal_unicode_escapes(item) for key, item in value.items()}
+    return value