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Achievements

Achievement: Pull SharkAchievement: Pair ExtraordinaireAchievement: Quickdraw

Achievements

Achievement: Pull SharkAchievement: Pair ExtraordinaireAchievement: Quickdraw

Organizations

@Game-Development-Club-WVSS

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AustinBoyuJiang/README.md

Austin Jiang

CS @ University of Waterloo

Website · LinkedIn · Résumé · Email

I work on high-performance computing and efficient AI, from accelerating 3D reconstruction to building concurrent data structures.

Now & next

  • Research Intern @ Huawei Noah's Ark Lab — efficient spatial foundation models.
  • Incoming SWE Intern @ DeepInfra — LLM inference acceleration, Jan-Apr 2027.
  • Previously at Waterloo's Multicore Lab and Wolfram Research, working on concurrent data structures and parallel cellular automata.

Selected work

HonkPack · HackMIT 2026
Phone video → per-object 3D reconstruction → custom 3D bin packing. Built with SAM3, Depth Anything 3, and ShapeR. Project page ↗

Rewrite · TreeHacks 2026
Interactive, AI-generated worlds in VR. Scaled Hunyuan WorldPlay inference from 1 to 12 FPS with tensor parallelism across 4× H200 GPUs. Demo & write-up ↗

ADaptiv · CMU NexHacks 2026
End-to-end video object replacement: Gemini for video understanding, SAM3 for pixel-level masking, and Wan2.1 for generation in ComfyUI. Optimized for a 3× speedup on an RTX 4090. Demo & write-up ↗

From competitor to problem setter

2× CCO silver medalist · USACO Platinum

I now help write the contests, too: CCO 2026 · Day 1, Problem 3.

Pinned Loading

  1. Competitive-Programming Competitive-Programming Public

    My solutions to problems from USACO, CCC, Codeforces, DMOJ, and other competitions.

    C++ 2

  2. LookAround-AI LookAround-AI Public

    Forked from jiffstudio/AI-StreetView-Guide

    Talk to your AI tour guide — it walks the street, shows the world, and helps you remember what matters.

    Python

  3. Recap Recap Public

    A full-stack AI-powered memory system that simulates the human brain’s layered knowledge structure using spaced repetition, semantic evaluation, and adaptive learning across disciplines.

    JavaScript

  4. Stock-Explain Stock-Explain Public

    Our project at Cal Hacks 12.0

    TypeScript 1