About
Xinlong Bao
Harry · Sydney · 包新龙
Master of Computer Science (Advanced) at the University of Sydney, after Computer Engineering at De La Salle. I build things you can hold or open: haptic gloves on Vision Pro, local study hubs, agent desks, a bead table. The CV version is AI, robotics, computer vision, and embedded systems, with two first-author IEEE papers.
Two CS
Counter-Strike and Computer Science.
Same letters. I play AWP — the long angle, one shot, then you are gone. On FACEIT I am Chinaharry17. In a lobby I will tell you I am the best AWPer there. That is not a ranking page. That is the job: hold the lane until it is yours.
I already treat one CS as doctorate-level homework. The other one I am still climbing. Master’s now (expected November 2027). After that I want the actual PhD — same initials, slower queue.
Education
University of Sydney
Master of Computer Science (Advanced) · expected November 2027 · Sydney
De La Salle University — Gokongwei College of Engineering
B.S. Computer Engineering · April 2025 · Manila
Experience
Zhejiang Jubianyun Technology
AI & Robotics Algorithm Engineer · Feb–Aug 2025 · Ningbo
- Reinforcement learning and secondary development on Unitree Go2 EDU and Agibot X1 for nuclear-plant scenarios.
- YOLO vision for construction-site classification; local and cloud recognition.
- Internal LLM apps on LM Studio and LangChain. Chinese–English translation for EDF visits.
DLSU Institute of Biomedical Engineering and Health Technologies
Software Engineering Intern · May–Aug 2024 · Manila
- Android, iOS, and web prototypes for rehabilitation robotics.
Papers
Design and Development of Haptic Gloves and Temperature Feedback Module for Apple Vision Pro
IEEE GEM 2025 · first author
A Software Management System Solution for Digitalization and Automation in Construction Sector
IEEE HNICEM 2023 · first author
Mandarin native · English fluent (TOEFL iBT 104, CEFR C1)
The bench
Machines on hand.
Alienware Area-51 · Desktop
AMD Ryzen 9 9950X3D2 · RTX 5090 32 GB @ 1.79 TB/s · 64 GB @ 102 GB/s · 4 TB SSD @ 8 GB/s
On the desk. The lobby machine.
Alienware 16 R1 · Windows laptop
Intel Core i9-13900HK · RTX 4090 16 GB @ 576 GB/s · 32 GB @ 90 GB/s · 4 TB SSD @ 8 GB/s
Travel Windows. Same game, smaller chassis.
MacBook Pro · M3 Max
128 GB @ 400 GB/s · 8 TB SSD @ 7 GB/s
Thesis, Unity, and the master’s.
Apple Vision Pro · Spatial
16 GB @ 153 GB/s · NAND @ 3 GB/s · visionOS · UDP to the gloves
The HMD the escape room was written for.
PinePhone Pro + PineTab · Kali kit
4 GB @ 13 GB/s · 128 GB eMMC @ 400 MB/s
Field Linux. Not a toy.
Mac Studio · M5 Ultra · queued
512 GB @ 1.2 TB/s · 1 TB SSD @ 15 GB/s
Next machine. Same climb as the PhD.
Also on GitHub
- brainstormClaude Code on a phone
- OJTOn-the-job training outputs (Kotlin)
- IEEE HNICEM Android appAndroid worker app, 2023
- Course notesObsidian vault from the master’s
CV (PDF)hhwbxl1314@gmail.comGitHubLinkedInXScholarFACEITWork