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Eric-LLMs/README.md

Hi, I'm Eric 👋

Senior ML Engineer (10+ YOE) | BS Math, MS NLP (3-year Research @ PKU)

LLM Engineering • Agents • RAG • Production ML Systems

From Statistical NLP → Deep Learning → LLMs & Agentic Systems

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  1. LLMs-Lab LLMs-Lab Public

    Full-stack LLM Engineering Lab. Features: Autonomous Agents (ReAct/AutoGPT) | Fine-Tuning Llama/Mistral (SFT/DPO) | Large Model Deployment (DeepSeek 671B / 2.5-bit) | Advanced RAG (Hybrid Search) |…

    Jupyter Notebook 5 1

  2. Awesome-AI-Engineering Awesome-AI-Engineering Public

    The Full-Stack LLM Engineering Playbook. Architectural patterns for Agents (MCP) & RAG, coupled with advanced Post-Training recipes (SFT, DPO, QLoRA) for domain adaptation. Covers Data Pipelines, E…

    3

  3. Distributed-Systems-Lab Distributed-Systems-Lab Public

    A portfolio of production-grade engineering solutions focused on distributed systems and microservice architectures (Developed 2017–2021). Features high-performance gRPC frameworks, unified HTTP pr…

    Python

  4. NLP-Before-LLMs NLP-Before-LLMs Public

    A curated archive of NLP and Reinforcement Learning projects personally developed or analyzed between 2015 and 2020. Features implementations of core architectures (BiLSTM, TextCNN, Seq2Seq) alongs…

    Python 2

  5. Machine-Learning Machine-Learning Public

    A collection of Statistical Machine Learning implementations and application projects implemented by me between 2015 and 2019. Features core algorithms (SVM, KNN, RF) and ensemble methods (GBDT, XG…

    Python

  6. DeepGloss DeepGloss Public

    AI-powered domain-specific English learning assistant with Hybrid Search (SQL+Vector), dynamic Visual Context, AI TTS (Text-to-Speech) caching, interactive voice recording, and contextual LLM expla…

    Python