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Eric-LLMs/README.md

Hi, I'm Eric 👋

Senior ML Engineer (10+ YOE) | BS Math, MS NLP

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 7 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…

    8

  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. 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

  5. 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

  6. 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