STATUS: READY · 随时到岗 STATUS: READY · AVAILABLE

PROG_PROFILE 个人简介 · 软件工程 × AI 评测与系统工程 PROG_PROFILE Profile · Software Engineering × AI Evaluation & Systems

Lyu Bingrong吕炳荣

AI 系统工程师 · 大模型安全评测 · 计算机视觉 AI Systems Engineer · LLM Evaluation & Safety · Computer Vision

毕业于中北大学软件工程专业,中北大学百度飞桨领航团团长。开源项目 Clawd on Desk (6,500+ Stars) 核心维护者,曾于北京智源人工智能研究院(BAAI)从事大模型安全对抗评测。深耕计算机视觉与前沿数据智能,斩获“挑战杯”国赛一等奖、RAICOM 国赛二等奖与 2× Kaggle 国际铜牌。追求严谨、可信、经受检验的系统工程交付。 B.S. in Software Engineering from North University of China; Baidu PaddlePaddle Pilot Group Campus Leader. Core maintainer of Clawd on Desk (6,500+ Stars), former BAAI LLM safety evaluation intern. Challenge Cup National 1st Prize, RAICOM National 2nd Prize, 2× Kaggle Bronze. Focused on verifiable, battle-tested AI systems.

开源维护 GitHub StarsGitHub stars maintained
6,500+
核心 PR 提交并合并Core PRs merged
66
深度接入 AI 智能体AI tools supported
26
“挑战杯”国赛一等奖Challenge Cup Nat'l 1st
🥇 1st

求职中 · 随时到岗:大模型评测与安全 · AI Agent 系统研发 · 计算机视觉 Actively Seeking Full-Time Roles · Available Immediately: LLM Safety · AI Agent Engineering · Computer Vision & Systems

小吕正在coding Lyu is coding... HOVER & CLICK
16-BIT 像素风虚拟形象 · 点击互动 16-BIT Pixel Avatar · Click to interact
01

关于我About

BIO.SYS 背景 / 技术理念Background / Vision

在确定性与边界之间,构建可度量、可落地的 AI 系统。 Between certainty and vulnerability, building measurable, reliable AI systems.

我是吕炳荣(YOIMIYA66),毕业于中北大学软件工程专业。在工程与算法的交叉地带,我专注解决真实世界中的确定性挑战:一是建立严谨、抗噪、可信的大模型安全度量与评测基准;二是将复杂的 AI 智能体能力收拢进低延迟、高可靠的桌面工程;三是在计算机视觉领域深耕具有严苛可靠性要求的眼部医学影像辅助诊断与恶劣天气交通标识识别系统。

曾于北京智源人工智能研究院(BAAI)智能评测组实习,投身大模型越狱对抗(Red Teaming)与竞技场标注质量建模;担任中北大学百度飞桨领航团团长,推进校内深度学习开源生态与开发者技术交流;同时作为核心维护者深度参与开源桌面应用 Clawd on Desk(6.5k+ Stars)的设置体系重构与多 Agent 接入调度,累计合并 66 个核心 PR。

不迷信不可控的 Demo 包装,对系统的稳定性与交付质量有苛刻追求,喜欢一切“严谨、可信且经受检验”的真实系统。

I'm Lyu Bingrong (YOIMIYA66), graduated with a B.S. in Software Engineering from North University of China. Working at the intersection of systems and applied AI, I focus on solving real-world reliability challenges: establishing robust safety benchmarks for frontier LLMs, engineering high-performance agent runtime hooks for desktop applications, and developing clinical-grade Computer Vision pipelines for ophthalmic diagnosis and adverse weather traffic sign recognition.

Formerly interned at the Beijing Academy of Artificial Intelligence (BAAI) Intelligent Evaluation Group on LLM adversarial red-teaming and arena user preference modeling. Served as the campus leader for Baidu PaddlePaddle Pilot Group at North University of China, promoting open-source AI and deep learning practices. As a core maintainer of Clawd on Desk (6,500+ stars), I spearheaded the settings architecture overhaul and 26 agent hook integrations with 66 merged PRs.

I avoid fragile toy demos and prioritize measurable stability, engineering resilience, and verifiable quality.

STACK_MATRIX 技术栈与核心能力全景 Core Capabilities & Technical Stack
4 DOMAINS · FULL-STACK

大模型安全与评测LLM Safety & Eval

智源研究院(BAAI)实战,红队漏洞对抗与数据置信度 BAAI red-teaming, prompt injection & data credibility

  • Red Teaming (红队对抗评测)
  • 提示注入与越狱挖掘
  • 竞技场标注置信度建模
  • 匿名对战噪声异常检测
  • 多维度主观量表评测制定
  • Red Teaming & Safety Eval
  • Prompt Injection & Jailbreak
  • Arena Credibility Modeling
  • Crowdsourced Noise Filtering
  • Subjective Scoring Rubrics

AI Agent 与系统工程AI Agents & Systems

Clawd on Desk 核心维护,6.5k+ Stars 开源桌面底座 Core maintainer of Clawd on Desk (6.5k+ Stars)

  • 26 款 AI Agent 运行时 Hooks
  • 多 Agent 异步进程拦截调度
  • 全局设置架构解耦与广播流
  • Electron / Node.js 桌面工程
  • 多屏 DPI 自适应与系统托盘
  • 26 AI Agent Runtime Hooks
  • Async Process Interception
  • Decoupled Settings System
  • Electron & Node.js Desktop
  • Multi-DPI & Windows Tray

计算机视觉与前沿算法Computer Vision & AI

全国“挑战杯”国赛一等奖、RAICOM 国二、2× Kaggle 铜牌 Challenge Cup Nat'l 1st, RAICOM 2nd, 2× Kaggle Bronze

  • 眼底多病种孪生网络诊断
  • 恶劣天气交通标识高精识别
  • 物理自适应去雨去雾图像增强
  • 测试时推理搜索与思维链剪枝
  • 极低资源古语料 PEFT / LoRA
  • Bilateral Retinal Twin Network
  • Adverse Weather Traffic Sign AI
  • Physical Weather De-rain/De-fog
  • Test-Time Search & CoT Pruning
  • Low-Resource PEFT / LoRA

工程基建与交付Infra & Production

工业级代码规范、端到端自动化 CI/CD 与跨平台发版 Production code standards, automated CI/CD & packaging

  • PyTorch · OpenCV · HuggingFace
  • Python / JavaScript / Bash
  • Docker 容器化与量化部署
  • GitHub Actions 自动化 CI-CD
  • winget 官方包管理器自动化发版
  • PyTorch · OpenCV · HuggingFace
  • Python / JavaScript / Bash
  • Docker & Quantized Edge Deploy
  • GitHub Actions CI-CD Pipelines
  • Official winget Release Automation
02

代表作品Featured Work

EXEC.BIN 系统工程 / 6.5k+ 开源项目 / 计算机视觉Systems / 6.5k+ Stars Open Source / Vision

FLAGSHIP · 标杆项目 作品 01 · 核心维护者 (Maintainer) · 66 Merged PRs FLAGSHIP PROJECT Work 01 · Core Maintainer · 66 Merged PRs

Clawd on Desk ★ 6,500+ STARS

把 26 款主流 AI 编程工具的工作状态、等待与权限请求可视化的轻量桌面伴侣:支持 Claude Code、Codex、Cursor、Gemini 等主流 Agent,提供统一配置架构、运行时多 Agent 异步 Hook、多屏 DPI 自适应,已上架 Windows 官方包管理器 winget。 A cross-platform desktop companion visualizing the working, waiting, and approval states of 26 AI coding agents including Claude Code, Codex, Cursor, and Gemini. Features a unified settings architecture, multi-agent async hooks, and official winget distribution.

AGENT_SYS · DESKTOP_RUNTIME
Clawd on Desk Icon
Clawd on Desk
Multi-Agent Coding Desktop Companion
STATUS: OK
跨平台多端运行伴侣与实时状态机 Cross-platform companion & real-time state machine
GitHub stars
6,500+
核心 PR 提交已合并Merged PRs
66
个正式发布版本releases
38
全平台累计下载downloads
11.54万+115.4k+
款主流 AI 工具接入AI coding tools
26
种界面语言支持UI languages
7

开源项目代码与社区数据持续同步 · 核心贡献涵盖全局设置架构与 Agent Hooks Live community metrics · Core maintainer contributions across settings & agent hooks

PowerShell

# 已上架 Windows 官方包管理器 wingetlisted on winget, the official Windows package manager

PS> winget install rullerzhou-afk.clawd-on-desk

桌面实机运行 · 伴随 Claude Code 会话状态切换 Runtime Demo · Visualizing Claude Code Agent States
Clawd on Desk 实时桌面运行动效
DESKTOP RUNTIME
Clawd on Desk 界面动效实录:右下角像素桌宠实时感知 Claude Code 会话状态与休眠唤醒 Clawd on Desk in action: pixel companion reacting to Claude Code sessions, waiting, and working states

ARCH架构重构Architecture统一设置与状态机Unified Settings & State

独立主导了设置界面的重构设计与核心交互逻辑,解耦多模块配置的持久化与渲染层生命周期,建立统一的数据校验与响应式广播流。

Spearheaded the complete settings system overhaul and interaction logic, decoupling persistence from the renderer lifecycle with unified validation.

HOOKS运行时拓展Runtime Hooks26 款 AI Agent 深度接入26 AI Agent Integrations

搭建多 Agent 异步 Hook 接入体系,拦截并标准化 Claude Code、Gemini CLI、Cursor、Codex 等进程状态转换,保障后台长时间静默监控零卡顿。

Engineered the asynchronous hook architecture to capture and normalize state transitions across 26 agent CLIs without latency spikes.

CORE原生工程与交互Reliability & UX平台稳定性与跟随气泡Desktop Resilience & Bubbles

研发跟随桌宠的状态通知气泡等交互特性;系统修复 Windows 托盘异常隐藏与多屏 DPI 漂移,持续维护中英双语架构文档与 winget 官方自动化发版 CI。

Shipped pet-following notification bubbles; resolved Windows tray edge cases and multi-DPI drifts while curating bilingual architecture docs and winget release CI.

作品 02 · 全国“挑战杯”国赛一等奖 & RAICOM 算法赛道国二 Work 02 · Challenge Cup National 1st Prize & RAICOM National 2nd Prize

国赛计算机视觉系统:眼疾智能筛查 与 恶劣天气交通标识识别National Vision Systems: Ophthalmic Diagnosis & Adverse Weather Traffic AI

深耕计算机视觉算法在智能医疗与复杂交通场景的落地研发。独立与主导研发两套高鲁棒性视觉系统:针对双眼眼底医学影像多病种的“明眸八极”智能辅助诊断系统,以及针对雾霾、暴雨、夜间低照度等极端气象条件的恶劣天气交通标识识别系统,先后斩获两项国家级竞赛大奖。 Focused on applied Computer Vision pipelines in medical healthcare and intelligent transportation. Spearheaded two robust vision systems: "Mingmou Baji" bilateral retinal 8-disease screening and adverse weather traffic sign recognition, winning two premier national titles.

“明眸八极”双眼孪生主干网络与特征融合原理拓扑 Mingmou Baji: Bilateral Twin CNN & Feature Fusion Architecture
“明眸八极”双眼孪生权重共享卷积主干网络与特征交叉融合架构原理示意图
CLINICAL OPHTHALMIC AI
双眼孪生权重共享主干网络 (Weight-shared Backbone) 与跨眼特征交叉融合拓扑架构 (综合多病种 AUC 98.4%) Bilateral weight-shared twin CNN topology & cross-eye feature fusion architecture (AUC 98.4%)
国家级竞赛奖项National titles
2 项
多病种综合诊断 AUCMulti-label AUC
98.4%
眼底病种解耦诊断Retinal diseases
8 类
双眼对称特征融合Bilateral fusion
Cross-Eye
累计评测医学样本Evaluated samples
10万+ 张
端侧平均推理延迟Edge inference
<18ms

第十九届“挑战杯”全国一等奖 (2025) · 2026 RAICOM 算法与视觉赛道全国总决赛国家二等奖 (2026.08) 19th Challenge Cup AI Special Track Nat'l 1st · 2026 RAICOM Algorithm & Vision Finals Nat'l 2nd (2026.08)

“挑战杯”国赛一等奖官方报道 CERTIFIED NATIONAL 1ST PRIZE
中北软件学院官方报道 ↗ Official Report ↗

MED_AI智能医疗视觉Medical Vision“明眸八极”双眼眼底智能辅助诊断系统Ophthalmic Disease Diagnosis

针对左右眼底视网膜对称性与单眼病灶差异,设计左右眼孪生权重共享卷积主干网络(Weight-shared Backbone)与高层特征交叉融合模块,解耦多任务 Softmax 联合诊断青光眼、DR、白内障等 8 类眼疾,综合 AUC 达 98.4%。

Designed bilateral weight-shared twin backbones and high-level cross-eye feature fusion with decoupled multi-task Softmax covering 8 retinal diseases (Glaucoma, DR, AMD, Cataract), reaching 98.4% diagnostic AUC.

TRAFFIC交通感知视觉Traffic Vision恶劣天气与复杂路况交通标识识别Adverse Weather & Traffic Sign Recognition

针对雾霾、暴雨、夜间低照度等极端气象条件,结合物理成像特性的自适应去雾/去雨图像增强与多尺度轻量化目标检测算法,实现复杂恶劣天候下毫秒级快速识别与极低误检率。荣获 2026 年机器人开发者大赛(RAICOM)算法与视觉赛道 全国总决赛 国家级二等奖(2026.08)。

Engineered weather-adaptive dehazing/deraining image enhancement and multi-scale lightweight target detection under heavy rain, fog, and night illumination, achieving millisecond-level inference with minimal false alarms; won RAICOM 2026 Algorithm & Vision Finals National 2nd Prize (2026.08).

EDGE_OPT工程与落地Execution边缘量化与专利成果Quantization & Patents

构建端到端模型轻量化剪枝与 INT8 边缘量化流水线,端侧平均推理延迟小于 18ms;研发成果已形成发明专利与软件著作权申请,获学院官方专题报道与竞赛权威表彰。

Built model pruning and INT8 edge quantization pipelines reaching sub-18ms inference latency; research outcomes materialized into patents and software copyrights with official university honors.

作品 03 · Kaggle 国际竞赛 2× 铜牌 & KDD Cup Top 8.5% Work 03 · Kaggle 2× Bronze Medals & KDD Cup Top 8.5%

大模型推理、低资源泛化与推荐前沿赛Frontier LLM Reasoning, Low-Resource NLP & RecSys

在国际前沿数据科学与大模型赛题中攻克复杂推理泛化、极低资源古语料跨模态对齐以及大规模推荐检索难题,两次斩获 Kaggle 国际铜牌,并入围 KDD Cup 2026 全球总排名前 8.5%。 Tackled complex LLM reasoning, extremely low-resource ancient language translation, and large-scale recommendation retrieval across premier international competitions, winning two Kaggle Bronze medals and KDD Cup 2026 Top 8.5%.

Kaggle 国际竞赛奖牌与全球战绩看板 Kaggle Medals & Global Standings
Kaggle 国际竞赛奖牌与全球战绩看板
VERIFIED STANDINGS
Deep Past 铜牌 (Rank 141/2,674 · 前 5.3%) · NVIDIA Nemotron 铜牌 (Rank 256/4,185 · 前 6.1%) · KDD Cup 全球前 8.5% Deep Past Bronze (141/2,674 · Top 5.3%) · Nemotron Bronze (256/4,185 · Top 6.1%) · KDD Cup Top 8.5%
阿卡德古语翻译排位Deep Past Rank
Top 5.3%
Nemotron 推理排位Nemotron reasoning
Top 6.1%
KDD Cup 推荐全球排位KDD Cup global rank
Top 8.5%
Kaggle 国际竞赛奖牌Kaggle medals
2× 铜牌
阿卡德古语翻译 BLEUTranslation BLEU
38.2
竞赛评测提交验证率Verified submissions
100%

Kaggle @lvbingrong 国际官方认证提交 · 腾讯 TAAC × KDD Cup 2026 前 8.5% (160 / 1,873) Kaggle @lvbingrong verified medal submissions · TAAC × KDD Cup 2026 Top 8.5% (160 / 1,873)

Kaggle 官方认证战绩 VERIFIED KAGGLE PROFILE
Kaggle @lvbingrong ↗ Kaggle Profile ↗

NVIDIAKaggle 铜牌Nemotron 模型推理挑战赛Nemotron Reasoning (Top 6.1%)

Kaggle 国际铜牌(Rank 256 / 4,185 · 全球前 6.1% · 2026.06)。针对前沿大语言模型构建测试时提示搜索策略(Test-Time Search)与细粒度思维链剪枝,显著提升复杂逻辑与规则推理的泛化准确率。

Kaggle Bronze Medal (Rank 256 / 4,185 · Top 6.1% · 2026.06). Engineered test-time reasoning search and chain-of-thought pruning to boost frontier LLM logic extrapolation.

NLPKaggle 铜牌Deep Past 阿卡德语低资源英译Low-Resource Translation

Kaggle 国际铜牌(Rank 141 / 2,674 · 全球前 5.3% · 2026.03)。针对稀缺古代语料开展半监督数据增强与参数高效微调(PEFT/LoRA),有效攻克极小样本泛化难题,提升 BLEU 与语义一致性。

Kaggle Bronze Medal (Rank 141 / 2,674 · Top 5.3% · 2026.03). Designed synthetic data augmentation and PEFT/LoRA fine-tuning for rare ancient cuneiform languages.

KDD CUP全球前 8.5%TAAC × KDD Cup 2026 腾讯赛Tencent Uni-Rec Challenge

全球总排名前 8.5%(160 / 1,873 · 2026.05)。在腾讯大规模异构推荐基准中构建多任务特征交叉与深层表征模型,实现高并发场景下的精准度量与召回。

Global Top 8.5% (160 / 1,873 · 2026.05). Built multi-task representation models on Tencent's unified recommendation benchmark for high-throughput precision ranking.

03

经历与教育Experience & Education

LOGS.DAT 研究院实习 / 学历背景Internship & Education
BAAI 实习单位Organization BAAI 智源

北京智源人工智能研究院 · 智能评测组Beijing Academy of Artificial Intelligence

SUITES 红队对抗构建Red Teaming 100+

多模态与 LLM 越狱/注入测试用例挖掘Jailbreak & prompt injection suites

METRICS 标注质量过滤Noise Filtering 99.2%

竞技场低质/恶意标注检测过滤置信度Confidence in filtering corrupted arena labels

  1. 2024.11 – 2025.03

    北京智源人工智能研究院 (BAAI) · 智能评测实习生 BAAI · Intelligent Evaluation Intern

    在智能评测组从事大语言模型安全红队测试与匿名竞技场用户标注质量度量:

    • 安全红队系统开展大语言模型安全与鲁棒性评测,针对提示注入(Prompt Injection)、越狱提示词与对抗扰动开展红队测试,探索模型安全边界,深度参与构建多维度安全评测基准。
    • 竞技场建模参与设计匿名 LLM 竞技场(Arena)的用户标注置信度评估算法,运用统计与异常检测方法过滤噪声与恶意低质标注,切实保障人类偏好数据(RLHF/Preference Data)的信度与模型排名的公平性。
    • 评测规范参与大模型主观开放式任务的评测方案制定,参与设计细粒度多维度打分量表、测试集规范与自动化验证流程。

    Worked at the Intelligent Evaluation Group on LLM safety red-teaming and crowdsourced preference modeling:

    • Red TeamingConducted vulnerability assessments using prompt injection, jailbreaks, and adversarial perturbation to establish robust safety evaluation baselines.
    • Arena ModelingDesigned user credibility scoring and anomaly detection algorithms for anonymous LLM arena battles, filtering out adversarial noise to preserve ranking fidelity.
    • Rubric DesignFormulated standardized multi-dimensional scoring rubrics and automated verification workflows for subjective and open-ended generative benchmarks.
  2. 2023 – 2026

    中北大学百度飞桨领航团 · 团长 Baidu PaddlePaddle Pilot Group @ NUC · Campus Leader

    受聘担任中北大学百度飞桨领航团团长,主导高校开源深度学习技术生态与学生开发者社群建设:

    • 社区布道依托百度飞桨(PaddlePaddle)开源深度学习框架与 AI Studio 平台,组织开展计算机视觉、深度学习和大模型前沿技术讲座与实战 Workshop,累计覆盖并带动数百名校内开发者。
    • 竞赛赋能建立算法研讨与竞赛集训机制,主导技术交流与开源项目实战,推动校内开发者团队在“挑战杯”国赛一等奖、RAICOM 国赛二等奖等高水平科技赛事中攻关视觉与算法难题。

    Served as Campus Leader for Baidu PaddlePaddle Pilot Group at North University of China, leading open-source AI community initiatives:

    • CommunitySpearheaded open-source AI developer community at NUC using PaddlePaddle and AI Studio, organizing workshops and technical lectures on CV and deep learning for hundreds of students.
    • MentorshipFostered competitive modeling study groups and applied engineering practices, empowering student teams to secure top national honors in Challenge Cup and RAICOM.
  3. 2022 – 2026

    中北大学 · 软件工程学士学位(已毕业) North University of China · B.S. in Software Engineering

    全日制软件工程专业毕业,曾任中北大学百度飞桨领航团团长。系统修读操作系统、数据结构与算法、计算机网络、软件架构体系与机器学习核心课程;具备扎实的计算机底层与系统工程素养,主导完成多项前沿算法工程研发与落地。

    Graduated with a Bachelor of Science in Software Engineering; served as Baidu PaddlePaddle Pilot Group Campus Leader. Comprehensive background in Operating Systems, Algorithms, Computer Networks, and Machine Learning with proven track record in end-to-end systems and applied AI engineering.

04

竞赛荣誉Honors & Awards

TROPHY.HEX 国赛一等奖 / 国际奖牌National 1st / International Medals
🥈 NATL_2ND 国家二等奖 2026 年机器人开发者大赛(RAICOM)算法与视觉赛道 全国总决赛 国家级二等奖(恶劣天气与复杂路况交通标识识别) 2026 RAICOM Robotics Developer Competition Finals — National 2nd Prize (Adverse Weather & Traffic Sign Recognition) 2026.08
🥉 BRONZE 国际铜牌 Kaggle · NVIDIA Nemotron 复杂模型推理挑战赛 国际铜牌(Rank 256 / 4,185 · Top 6.1%) Kaggle NVIDIA Nemotron Model Reasoning Challenge — Bronze Medal (Rank 256 / 4,185 · Top 6.1%) 2026.06
🚀 TOP_8.5% 全球前8.5% TAAC × KDD Cup 2026 · 腾讯 Uni-Rec 推荐挑战赛 总排名前 8.5%(160 / 1,873) TAAC × KDD Cup 2026 — Tencent Uni-Rec Challenge (Global Top 8.5% · 160 / 1,873) 2026.05
🥉 BRONZE 国际铜牌 Kaggle · Deep Past 挑战赛:阿卡德语低资源英译 国际铜牌(Rank 141 / 2,674 · Top 5.3%) Kaggle Deep Past Challenge: Translate Akkadian to English — Bronze Medal (Rank 141 / 2,674 · Top 5.3%) 2026.03
🥇 NATL_1ST 国家一等奖 第十九届“挑战杯”全国大学生课外学术科技作品竞赛“人工智能+”专项赛 全国一等奖(“明眸八极”双眼眼底多病种智能诊断系统) [学院报道 ↗] 19th "Challenge Cup" AI Special Track — National 1st Prize (Bilateral Retinal 8-Disease AI) [Official Report ↗] 2025
🥉 NATL_3RD 国家三等奖 第十六届中国大学生服务外包创新创业大赛 国家级三等奖 16th Chinese College Students Service Outsourcing Competition — National 3rd Prize 2025
🥉 NATL_BRONZE 国家级铜奖 中国国际大学生创新大赛(原“互联网+”)全国总决赛 国家级铜奖 China International College Students' Innovation Competition — National Bronze 2024
🥉 GLOBAL_3RD 全球总决赛季军 第六届中关村人才创客大赛 全球总决赛 季军 6th Zhongguancun Talent Maker Competition — Global Final 2nd Runner-up 2024
🥈 PROV_2ND 省级二等奖 中国高校计算机大赛 (C4) 团体程序设计天梯赛 省级二等奖 China University Computer Competition (C4) — Provincial 2nd Prize 2024
05

联系我Contact

PING.NET 全职求职 · 随时到岗Available Immediately
DISPATCH_ONLINE · STATUS: READY OFFICIAL INBOX · QUICK RESPONSE

吕炳荣 · 大模型评测 / AI Agent 系统 / 计算机视觉 Lyu Bingrong · LLM Evaluation / AI Agents / Computer Vision

目前我正积极关注大模型评测与安全、AI Agent 运行时工程及计算机视觉方向的全职机会。
本科已毕业,随时支持线上面试,可快速到岗入职。欢迎随时致信或通过下方链接建立联系!
I'm actively seeking full-time opportunities in LLM evaluation, AI agent runtime engineering, and Computer Vision.
Graduated with B.S., ready for remote interviews and immediate start. Feel free to reach out!