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Achievement: QuickdrawAchievement: YOLOAchievement: Pair Extraordinairex3Achievement: Pull Sharkx2

Achievements

Achievement: QuickdrawAchievement: YOLOAchievement: Pair Extraordinairex3Achievement: Pull Sharkx2

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orangejustin/README.md
Zecheng (Justin) Li — Machine Learning Engineer. Search, Ranking, Generative Retrieval.

Portfolio ↗   ·   LinkedIn ↗   ·   Say hello ↗

🍊 Building ML systems that work in production

I'm Justin, a Machine Learning Engineer in Search at TikTok. My work connects retrieval and ranking model design with evaluation, online serving, and experimentation.

  • Retrieval & ranking: Generative retrieval from dataset construction through training, indexing, and serving; integration with multi-stage ranking systems.
  • Model scaling & learning objectives: Transformer rankers, warm-start strategies for sparse embeddings and dense components, listwise distillation, and calibrated multi-task learning.
  • Production reliability: Offline-to-online feature consistency, ranking observability, model-launch validation, and online experiments.

Previously, I worked on Bayesian time-series modeling and multimodal anomaly detection at Argonne National Laboratory. I'm a CMU MISM graduate and UC San Diego alumnus.

Away from models: basketball, fitness, cooking, and exploring trails. Still curious, innovative, and motivated :)

Let's connect. I'm open to collaborating on LLM and Generative AI projects. Find me on LinkedIn, explore my portfolio, or reach out at [email protected].

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  1. awesome-agentic-trading awesome-agentic-trading Public

    A curated, checked map of open-source agentic trading: repos, papers and posts across the Data, Agent, Execution, Harness and Application layers.

    Python 4 1

  2. patient_chat_app patient_chat_app Public

    Python 3 1

  3. HalluPAQ HalluPAQ Public

    Leveraging Generated Q&A Pairs for Efficient Confidence Scoring and Hallucination Detection

    Python 2 2