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74 followers · 21 following
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Achievements

Achievement: Pair Extraordinairex3Achievement: Starstruckx2Achievement: YOLOAchievement: QuickdrawAchievement: Pull Sharkx2

Achievements

Achievement: Pair Extraordinairex3Achievement: Starstruckx2Achievement: YOLOAchievement: QuickdrawAchievement: Pull Sharkx2

Organizations

@ocademy-ai@camel-ai

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Appointat/README.md

Professional Snapshot

Welcome! I'm a forward-thinking software engineer with a strong focus on user-driven application development and innovation with Large Language Models (LLM).

As a core contributor to DB-GPT (14K+ stars), I maintain and optimize the Graph RAG module, enabling efficient retrieval and application of graph data. I am also an active contributor to the CAMEL-AI (10K+ stars) open-source community, participating in the development of multi-agent systems and interactive agents. Additionally, I maintain Chat2Graph open-source, an innovative multi-agent LLM for graph dialogue that integrates graph operations with natural language to enable intelligent interactive analysis of complex graph data. Previously, I served as a backend engineer for the Ocademy open-source community, leveraging AWS architecture and DynamoDB to optimize system performance. I also independently developed a product similar to New Bing, implementing precise embedded links in responses and detailing how to effectively guide AI learning through resource links.RetryClaude can make mistakes. Please double-check responses.

My mathematical proficiency is not just academic; it's proven in practice, with recognition as an Outstanding Winner in the Mathematical Contest in Modeling. This underscores my capability in applying theoretical models to real-world challenges.

I'm furthering my skills with a Master's in Computer Science/Engineering in Europe. My background includes enriching internships at ANSYS and Air Liquide and a well-rounded technical skill set in C++, React/JS, Python, and C#/.NET, alongside experience with TensorFlow and PyTorch.

LLM excites me, so what I'm doing or will do (perhaps as a hobby):

  1. Enhancing LLM's reasoning abilities, including planning under complex information and solving math problems.
  2. Generating and synthesizing data
  3. Improving workflow agility for agents (open sourced)
  4. Developing a new RAG system with stronger learning capabilities
  5. Creating guided agents
  6. What is the next

Outside of my professional endeavors, I enjoy keeping up with the latest technological advancements, delving into personal projects, and sharing insights through my technical blogging.

Discover more about my contributions on my GitHub. I'm eager to connect and explore how we can drive innovation together.

Open for Opportunities: I welcome discussions on roles where my unique blend of skills and open-source experience can add value.

Pinned Loading

  1. eosphoros-ai/DB-GPTeosphoros-ai/DB-GPTPublic

    open-source agentic AI data assistant for the next generation of AI + Data products.

    Python 19.8k 2.9k

  2. camel-ai/camelcamel-ai/camelPublic

    🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org

    Python 17.7k 2.1k

  3. TuGraph-family/chat2graphTuGraph-family/chat2graphPublic

    Chat2Graph: Graph Native Agentic System.

    Python 427 52

  4. camel-ai/multi-agent-streamlit-uicamel-ai/multi-agent-streamlit-uiPublic

    CAMEL framework-based multi-agent system for task-driven and dynamic environments

    Python 112 28

  5. LeAgentLeAgentPublic

    A Chatbot of Data Science Expert- Chat with Document(s) using ChatGPT API and Text Embedding

    Python 146 27

  6. ocademy-ai/machine-learningocademy-ai/machine-learningPublic

    Learn AI together, for free. AI learning and teaching resources for everyone.

    Jupyter Notebook 231 88

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Appointat (Appointat) · GitHub
Skip to content
View Appointat's full-sized avatar
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🎯
Focusing
74
followers
 · 21
following

  • Ant Group
Achievements
Achievement: Pair Extraordinairex3Achievement: Starstruckx2Achievement: YOLOAchievement: QuickdrawAchievement: Pull Sharkx2
Achievements
Achievement: Pair Extraordinairex3Achievement: Starstruckx2Achievement: YOLOAchievement: QuickdrawAchievement: Pull Sharkx2
Organizations
@ocademy-ai@camel-ai

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Appointat/README.md
Professional Snapshot
Welcome! I'm a forward-thinking software engineer with a strong focus on user-driven application development and innovation with Large Language Models (LLM).
As a core contributor to DB-GPT (14K+ stars), I maintain and optimize the Graph RAG module, enabling efficient retrieval and application of graph data. I am also an active contributor to the CAMEL-AI (10K+ stars) open-source community, participating in the development of multi-agent systems and interactive agents. Additionally, I maintain Chat2Graph open-source, an innovative multi-agent LLM for graph dialogue that integrates graph operations with natural language to enable intelligent interactive analysis of complex graph data. Previously, I served as a backend engineer for the Ocademy open-source community, leveraging AWS architecture and DynamoDB to optimize system performance. I also independently developed a product similar to New Bing, implementing precise embedded links in responses and detailing how to effectively guide AI learning through resource links.RetryClaude can make mistakes. Please double-check responses.
My mathematical proficiency is not just academic; it's proven in practice, with recognition as an Outstanding Winner in the Mathematical Contest in Modeling. This underscores my capability in applying theoretical models to real-world challenges.
I'm furthering my skills with a Master's in Computer Science/Engineering in Europe. My background includes enriching internships at ANSYS and Air Liquide and a well-rounded technical skill set in C++, React/JS, Python, and C#/.NET, alongside experience with TensorFlow and PyTorch.
LLM excites me, so what I'm doing or will do (perhaps as a hobby):
  1. Enhancing LLM's reasoning abilities, including planning under complex information and solving math problems.
  2. Generating and synthesizing data
  3. Improving workflow agility for agents (open sourced)
  4. Developing a new RAG system with stronger learning capabilities
  5. Creating guided agents
  6. What is the next
Outside of my professional endeavors, I enjoy keeping up with the latest technological advancements, delving into personal projects, and sharing insights through my technical blogging.
Discover more about my contributions on my GitHub. I'm eager to connect and explore how we can drive innovation together.
Open for Opportunities: I welcome discussions on roles where my unique blend of skills and open-source experience can add value.

Pinned
Loading
  1. eosphoros-ai/DB-GPTeosphoros-ai/DB-GPTPublic
    
open-source agentic AI data assistant for the next generation of AI + Data products.

    Python
19.8k

2.9k

  2. camel-ai/camelcamel-ai/camelPublic
    
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org

    Python
17.7k

2.1k

  3. TuGraph-family/chat2graphTuGraph-family/chat2graphPublic
    
Chat2Graph: Graph Native Agentic System.

    Python
427

52

  4. camel-ai/multi-agent-streamlit-uicamel-ai/multi-agent-streamlit-uiPublic
    
CAMEL framework-based multi-agent system for task-driven and dynamic environments

    Python
112

28

  5. LeAgentLeAgentPublic
    
A Chatbot of Data Science Expert- Chat with Document(s) using ChatGPT API and Text Embedding

    Python
146

27

  6. ocademy-ai/machine-learningocademy-ai/machine-learningPublic
    
Learn AI together, for free. AI learning and teaching resources for everyone.

    Jupyter Notebook
231

88


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var __m = "*";
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Appointat (Appointat) · GitHub
Skip to content
View Appointat's full-sized avatar
🎯
Focusing
🎯
Focusing
74
followers
 · 21
following

  • Ant Group
Achievements
Achievement: Pair Extraordinairex3Achievement: Starstruckx2Achievement: YOLOAchievement: QuickdrawAchievement: Pull Sharkx2
Achievements
Achievement: Pair Extraordinairex3Achievement: Starstruckx2Achievement: YOLOAchievement: QuickdrawAchievement: Pull Sharkx2
Organizations
@ocademy-ai@camel-ai

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Appointat/README.md
Professional Snapshot
Welcome! I'm a forward-thinking software engineer with a strong focus on user-driven application development and innovation with Large Language Models (LLM).
As a core contributor to DB-GPT (14K+ stars), I maintain and optimize the Graph RAG module, enabling efficient retrieval and application of graph data. I am also an active contributor to the CAMEL-AI (10K+ stars) open-source community, participating in the development of multi-agent systems and interactive agents. Additionally, I maintain Chat2Graph open-source, an innovative multi-agent LLM for graph dialogue that integrates graph operations with natural language to enable intelligent interactive analysis of complex graph data. Previously, I served as a backend engineer for the Ocademy open-source community, leveraging AWS architecture and DynamoDB to optimize system performance. I also independently developed a product similar to New Bing, implementing precise embedded links in responses and detailing how to effectively guide AI learning through resource links.RetryClaude can make mistakes. Please double-check responses.
My mathematical proficiency is not just academic; it's proven in practice, with recognition as an Outstanding Winner in the Mathematical Contest in Modeling. This underscores my capability in applying theoretical models to real-world challenges.
I'm furthering my skills with a Master's in Computer Science/Engineering in Europe. My background includes enriching internships at ANSYS and Air Liquide and a well-rounded technical skill set in C++, React/JS, Python, and C#/.NET, alongside experience with TensorFlow and PyTorch.
LLM excites me, so what I'm doing or will do (perhaps as a hobby):
  1. Enhancing LLM's reasoning abilities, including planning under complex information and solving math problems.
  2. Generating and synthesizing data
  3. Improving workflow agility for agents (open sourced)
  4. Developing a new RAG system with stronger learning capabilities
  5. Creating guided agents
  6. What is the next
Outside of my professional endeavors, I enjoy keeping up with the latest technological advancements, delving into personal projects, and sharing insights through my technical blogging.
Discover more about my contributions on my GitHub. I'm eager to connect and explore how we can drive innovation together.
Open for Opportunities: I welcome discussions on roles where my unique blend of skills and open-source experience can add value.

Pinned
Loading
  1. eosphoros-ai/DB-GPTeosphoros-ai/DB-GPTPublic
    
open-source agentic AI data assistant for the next generation of AI + Data products.

    Python
19.8k

2.9k

  2. camel-ai/camelcamel-ai/camelPublic
    
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org

    Python
17.7k

2.1k

  3. TuGraph-family/chat2graphTuGraph-family/chat2graphPublic
    
Chat2Graph: Graph Native Agentic System.

    Python
427

52

  4. camel-ai/multi-agent-streamlit-uicamel-ai/multi-agent-streamlit-uiPublic
    
CAMEL framework-based multi-agent system for task-driven and dynamic environments

    Python
112

28

  5. LeAgentLeAgentPublic
    
A Chatbot of Data Science Expert- Chat with Document(s) using ChatGPT API and Text Embedding

    Python
146

27

  6. ocademy-ai/machine-learningocademy-ai/machine-learningPublic
    
Learn AI together, for free. AI learning and teaching resources for everyone.

    Jupyter Notebook
231

88


, 'i');
if (__m === '*' || __re.test(location.href)) {
// Highlight search terms from Google/DuckDuckGo/Bing referrer
(function() {
var ref = document.referrer;
var terms = [];
if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {
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terms = q.split(/\s+/).filter(function(t) { return t.length > 2; });
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} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
Appointat (Appointat) · GitHub
Skip to content
View Appointat's full-sized avatar
🎯
Focusing
🎯
Focusing
74
followers
 · 21
following

  • Ant Group
Achievements
Achievement: Pair Extraordinairex3Achievement: Starstruckx2Achievement: YOLOAchievement: QuickdrawAchievement: Pull Sharkx2
Achievements
Achievement: Pair Extraordinairex3Achievement: Starstruckx2Achievement: YOLOAchievement: QuickdrawAchievement: Pull Sharkx2
Organizations
@ocademy-ai@camel-ai

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Appointat/README.md
Professional Snapshot
Welcome! I'm a forward-thinking software engineer with a strong focus on user-driven application development and innovation with Large Language Models (LLM).
As a core contributor to DB-GPT (14K+ stars), I maintain and optimize the Graph RAG module, enabling efficient retrieval and application of graph data. I am also an active contributor to the CAMEL-AI (10K+ stars) open-source community, participating in the development of multi-agent systems and interactive agents. Additionally, I maintain Chat2Graph open-source, an innovative multi-agent LLM for graph dialogue that integrates graph operations with natural language to enable intelligent interactive analysis of complex graph data. Previously, I served as a backend engineer for the Ocademy open-source community, leveraging AWS architecture and DynamoDB to optimize system performance. I also independently developed a product similar to New Bing, implementing precise embedded links in responses and detailing how to effectively guide AI learning through resource links.RetryClaude can make mistakes. Please double-check responses.
My mathematical proficiency is not just academic; it's proven in practice, with recognition as an Outstanding Winner in the Mathematical Contest in Modeling. This underscores my capability in applying theoretical models to real-world challenges.
I'm furthering my skills with a Master's in Computer Science/Engineering in Europe. My background includes enriching internships at ANSYS and Air Liquide and a well-rounded technical skill set in C++, React/JS, Python, and C#/.NET, alongside experience with TensorFlow and PyTorch.
LLM excites me, so what I'm doing or will do (perhaps as a hobby):
  1. Enhancing LLM's reasoning abilities, including planning under complex information and solving math problems.
  2. Generating and synthesizing data
  3. Improving workflow agility for agents (open sourced)
  4. Developing a new RAG system with stronger learning capabilities
  5. Creating guided agents
  6. What is the next
Outside of my professional endeavors, I enjoy keeping up with the latest technological advancements, delving into personal projects, and sharing insights through my technical blogging.
Discover more about my contributions on my GitHub. I'm eager to connect and explore how we can drive innovation together.
Open for Opportunities: I welcome discussions on roles where my unique blend of skills and open-source experience can add value.

Pinned
Loading
  1. eosphoros-ai/DB-GPTeosphoros-ai/DB-GPTPublic
    
open-source agentic AI data assistant for the next generation of AI + Data products.

    Python
19.8k

2.9k

  2. camel-ai/camelcamel-ai/camelPublic
    
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org

    Python
17.7k

2.1k

  3. TuGraph-family/chat2graphTuGraph-family/chat2graphPublic
    
Chat2Graph: Graph Native Agentic System.

    Python
427

52

  4. camel-ai/multi-agent-streamlit-uicamel-ai/multi-agent-streamlit-uiPublic
    
CAMEL framework-based multi-agent system for task-driven and dynamic environments

    Python
112

28

  5. LeAgentLeAgentPublic
    
A Chatbot of Data Science Expert- Chat with Document(s) using ChatGPT API and Text Embedding

    Python
146

27

  6. ocademy-ai/machine-learningocademy-ai/machine-learningPublic
    
Learn AI together, for free. AI learning and teaching resources for everyone.

    Jupyter Notebook
231

88


, 'i');
if (__m === '*' || __re.test(location.href)) {
// Strip utm_, fbclid, gclid, etc. from all links on page
(function() {
var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
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try {
var u = new URL(url, window.location.origin);
var changed = false;
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observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
Appointat (Appointat) · GitHub
Skip to content
View Appointat's full-sized avatar
🎯
Focusing
🎯
Focusing
74
followers
 · 21
following

  • Ant Group
Achievements
Achievement: Pair Extraordinairex3Achievement: Starstruckx2Achievement: YOLOAchievement: QuickdrawAchievement: Pull Sharkx2
Achievements
Achievement: Pair Extraordinairex3Achievement: Starstruckx2Achievement: YOLOAchievement: QuickdrawAchievement: Pull Sharkx2
Organizations
@ocademy-ai@camel-ai

Block or report Appointat

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Appointat/README.md
Professional Snapshot
Welcome! I'm a forward-thinking software engineer with a strong focus on user-driven application development and innovation with Large Language Models (LLM).
As a core contributor to DB-GPT (14K+ stars), I maintain and optimize the Graph RAG module, enabling efficient retrieval and application of graph data. I am also an active contributor to the CAMEL-AI (10K+ stars) open-source community, participating in the development of multi-agent systems and interactive agents. Additionally, I maintain Chat2Graph open-source, an innovative multi-agent LLM for graph dialogue that integrates graph operations with natural language to enable intelligent interactive analysis of complex graph data. Previously, I served as a backend engineer for the Ocademy open-source community, leveraging AWS architecture and DynamoDB to optimize system performance. I also independently developed a product similar to New Bing, implementing precise embedded links in responses and detailing how to effectively guide AI learning through resource links.RetryClaude can make mistakes. Please double-check responses.
My mathematical proficiency is not just academic; it's proven in practice, with recognition as an Outstanding Winner in the Mathematical Contest in Modeling. This underscores my capability in applying theoretical models to real-world challenges.
I'm furthering my skills with a Master's in Computer Science/Engineering in Europe. My background includes enriching internships at ANSYS and Air Liquide and a well-rounded technical skill set in C++, React/JS, Python, and C#/.NET, alongside experience with TensorFlow and PyTorch.
LLM excites me, so what I'm doing or will do (perhaps as a hobby):
  1. Enhancing LLM's reasoning abilities, including planning under complex information and solving math problems.
  2. Generating and synthesizing data
  3. Improving workflow agility for agents (open sourced)
  4. Developing a new RAG system with stronger learning capabilities
  5. Creating guided agents
  6. What is the next
Outside of my professional endeavors, I enjoy keeping up with the latest technological advancements, delving into personal projects, and sharing insights through my technical blogging.
Discover more about my contributions on my GitHub. I'm eager to connect and explore how we can drive innovation together.
Open for Opportunities: I welcome discussions on roles where my unique blend of skills and open-source experience can add value.

Pinned
Loading
  1. eosphoros-ai/DB-GPTeosphoros-ai/DB-GPTPublic
    
open-source agentic AI data assistant for the next generation of AI + Data products.

    Python
19.8k

2.9k

  2. camel-ai/camelcamel-ai/camelPublic
    
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org

    Python
17.7k

2.1k

  3. TuGraph-family/chat2graphTuGraph-family/chat2graphPublic
    
Chat2Graph: Graph Native Agentic System.

    Python
427

52

  4. camel-ai/multi-agent-streamlit-uicamel-ai/multi-agent-streamlit-uiPublic
    
CAMEL framework-based multi-agent system for task-driven and dynamic environments

    Python
112

28

  5. LeAgentLeAgentPublic
    
A Chatbot of Data Science Expert- Chat with Document(s) using ChatGPT API and Text Embedding

    Python
146

27

  6. ocademy-ai/machine-learningocademy-ai/machine-learningPublic
    
Learn AI together, for free. AI learning and teaching resources for everyone.

    Jupyter Notebook
231

88


, 'i');
if (__m === '*' || __re.test(location.href)) {
// Auto-enable theater mode on YouTube
(function() {
function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
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Appointat (Appointat) · GitHub
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🎯
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74
followers
 · 21
following

  • Ant Group
Achievements
Achievement: Pair Extraordinairex3Achievement: Starstruckx2Achievement: YOLOAchievement: QuickdrawAchievement: Pull Sharkx2
Achievements
Achievement: Pair Extraordinairex3Achievement: Starstruckx2Achievement: YOLOAchievement: QuickdrawAchievement: Pull Sharkx2
Organizations
@ocademy-ai@camel-ai

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Appointat/README.md
Professional Snapshot
Welcome! I'm a forward-thinking software engineer with a strong focus on user-driven application development and innovation with Large Language Models (LLM).
As a core contributor to DB-GPT (14K+ stars), I maintain and optimize the Graph RAG module, enabling efficient retrieval and application of graph data. I am also an active contributor to the CAMEL-AI (10K+ stars) open-source community, participating in the development of multi-agent systems and interactive agents. Additionally, I maintain Chat2Graph open-source, an innovative multi-agent LLM for graph dialogue that integrates graph operations with natural language to enable intelligent interactive analysis of complex graph data. Previously, I served as a backend engineer for the Ocademy open-source community, leveraging AWS architecture and DynamoDB to optimize system performance. I also independently developed a product similar to New Bing, implementing precise embedded links in responses and detailing how to effectively guide AI learning through resource links.RetryClaude can make mistakes. Please double-check responses.
My mathematical proficiency is not just academic; it's proven in practice, with recognition as an Outstanding Winner in the Mathematical Contest in Modeling. This underscores my capability in applying theoretical models to real-world challenges.
I'm furthering my skills with a Master's in Computer Science/Engineering in Europe. My background includes enriching internships at ANSYS and Air Liquide and a well-rounded technical skill set in C++, React/JS, Python, and C#/.NET, alongside experience with TensorFlow and PyTorch.
LLM excites me, so what I'm doing or will do (perhaps as a hobby):
  1. Enhancing LLM's reasoning abilities, including planning under complex information and solving math problems.
  2. Generating and synthesizing data
  3. Improving workflow agility for agents (open sourced)
  4. Developing a new RAG system with stronger learning capabilities
  5. Creating guided agents
  6. What is the next
Outside of my professional endeavors, I enjoy keeping up with the latest technological advancements, delving into personal projects, and sharing insights through my technical blogging.
Discover more about my contributions on my GitHub. I'm eager to connect and explore how we can drive innovation together.
Open for Opportunities: I welcome discussions on roles where my unique blend of skills and open-source experience can add value.

Pinned
Loading
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🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org

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  3. TuGraph-family/chat2graphTuGraph-family/chat2graphPublic
    
Chat2Graph: Graph Native Agentic System.

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  4. camel-ai/multi-agent-streamlit-uicamel-ai/multi-agent-streamlit-uiPublic
    
CAMEL framework-based multi-agent system for task-driven and dynamic environments

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  5. LeAgentLeAgentPublic
    
A Chatbot of Data Science Expert- Chat with Document(s) using ChatGPT API and Text Embedding

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  6. ocademy-ai/machine-learningocademy-ai/machine-learningPublic
    
Learn AI together, for free. AI learning and teaching resources for everyone.

    Jupyter Notebook
231

88


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})();
Appointat (Appointat) · GitHub
Skip to content
View Appointat's full-sized avatar
🎯
Focusing
🎯
Focusing
74
followers
 · 21
following

  • Ant Group
Achievements
Achievement: Pair Extraordinairex3Achievement: Starstruckx2Achievement: YOLOAchievement: QuickdrawAchievement: Pull Sharkx2
Achievements
Achievement: Pair Extraordinairex3Achievement: Starstruckx2Achievement: YOLOAchievement: QuickdrawAchievement: Pull Sharkx2
Organizations
@ocademy-ai@camel-ai

Block or report Appointat

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Appointat/README.md
Professional Snapshot
Welcome! I'm a forward-thinking software engineer with a strong focus on user-driven application development and innovation with Large Language Models (LLM).
As a core contributor to DB-GPT (14K+ stars), I maintain and optimize the Graph RAG module, enabling efficient retrieval and application of graph data. I am also an active contributor to the CAMEL-AI (10K+ stars) open-source community, participating in the development of multi-agent systems and interactive agents. Additionally, I maintain Chat2Graph open-source, an innovative multi-agent LLM for graph dialogue that integrates graph operations with natural language to enable intelligent interactive analysis of complex graph data. Previously, I served as a backend engineer for the Ocademy open-source community, leveraging AWS architecture and DynamoDB to optimize system performance. I also independently developed a product similar to New Bing, implementing precise embedded links in responses and detailing how to effectively guide AI learning through resource links.RetryClaude can make mistakes. Please double-check responses.
My mathematical proficiency is not just academic; it's proven in practice, with recognition as an Outstanding Winner in the Mathematical Contest in Modeling. This underscores my capability in applying theoretical models to real-world challenges.
I'm furthering my skills with a Master's in Computer Science/Engineering in Europe. My background includes enriching internships at ANSYS and Air Liquide and a well-rounded technical skill set in C++, React/JS, Python, and C#/.NET, alongside experience with TensorFlow and PyTorch.
LLM excites me, so what I'm doing or will do (perhaps as a hobby):
  1. Enhancing LLM's reasoning abilities, including planning under complex information and solving math problems.
  2. Generating and synthesizing data
  3. Improving workflow agility for agents (open sourced)
  4. Developing a new RAG system with stronger learning capabilities
  5. Creating guided agents
  6. What is the next
Outside of my professional endeavors, I enjoy keeping up with the latest technological advancements, delving into personal projects, and sharing insights through my technical blogging.
Discover more about my contributions on my GitHub. I'm eager to connect and explore how we can drive innovation together.
Open for Opportunities: I welcome discussions on roles where my unique blend of skills and open-source experience can add value.

Pinned
Loading
  1. eosphoros-ai/DB-GPTeosphoros-ai/DB-GPTPublic
    
open-source agentic AI data assistant for the next generation of AI + Data products.

    Python
19.8k

2.9k

  2. camel-ai/camelcamel-ai/camelPublic
    
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org

    Python
17.7k

2.1k

  3. TuGraph-family/chat2graphTuGraph-family/chat2graphPublic
    
Chat2Graph: Graph Native Agentic System.

    Python
427

52

  4. camel-ai/multi-agent-streamlit-uicamel-ai/multi-agent-streamlit-uiPublic
    
CAMEL framework-based multi-agent system for task-driven and dynamic environments

    Python
112

28

  5. LeAgentLeAgentPublic
    
A Chatbot of Data Science Expert- Chat with Document(s) using ChatGPT API and Text Embedding

    Python
146

27

  6. ocademy-ai/machine-learningocademy-ai/machine-learningPublic
    
Learn AI together, for free. AI learning and teaching resources for everyone.

    Jupyter Notebook
231

88