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Bach-Vo-Gia/ReadMe.md

Hey 👋 I'm Bach Vo Gia, an AI/ML Engineer specializing in LLM systems, Retrieval-Augmented Generation (RAG), RLHF workflows, and scalable AI infrastructure.

I design and deploy production-grade AI platforms powered by OpenAI APIs, LangChain, vector databases, semantic retrieval systems, and human-in-the-loop machine learning pipelines. My work focuses on building scalable backend architectures, optimizing AI workflows, improving retrieval accuracy, and delivering enterprise-ready AI systems.

Tech Stack

Languages

AI & LLM Frameworks

Libraries & Data

Backend Frameworks

Frontend

Cloud & DevOps

Databases & Vector Stores

ML Operations (MLOps)

Education

  • B.Sc. Computer Science — Hanoi University of Science and Technology
  • Graduated with honors — GPA: 3.6 / 4.0

Contact

Mission

My mission is to build scalable AI systems that combine LLMs, semantic retrieval, and human feedback loops to deliver reliable, production-ready AI solutions for real-world applications.

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  1. OpenRLHF OpenRLHF Public

    Forked from OpenRLHF/OpenRLHF

    An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)

    Python

  2. trl trl Public

    Forked from huggingface/trl

    Train transformer language models with reinforcement learning.

    Python

  3. awesome-RLHF awesome-RLHF Public

    Forked from opendilab/awesome-RLHF

    A curated list of reinforcement learning with human feedback resources (continually updated)

  4. langchain langchain Public

    Forked from langchain-ai/langchain

    The agent engineering platform.

    Python

  5. llama_index llama_index Public

    Forked from run-llama/llama_index

    LlamaIndex is the leading document agent and OCR platform

    Python

  6. ragflow ragflow Public

    Forked from infiniflow/ragflow

    RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

    Python