π Hi, Iβm Syed Mubashir Shah
Iβm an Agentic & Robotic AI Engineer with expertise in:
Generative AI and Large Language Model (LLM) fine-tuning.
Developing autonomous AI agents, humanoid robots, and multi-agent systems.
Cloud-native AI solutions, including microservices with Docker, Kubernetes, and Terraform.
Distributed AI computing frameworks, such as Ray, for scaling machine learning workflows.
Knowledge Graphs and Graph Databases like Neo4j for managing complex data relationships.
π± Iβm currently learning:
Advanced techniques in AI-powered Robotics using ROS 2 and NVIDIA Isaac.
Enhancing distributed machine learning workflows with Ray.
Exploring cutting-edge methods in Agentic AI and Multi-Agent Systems.
ποΈ Iβm looking to collaborate on:
Projects involving LLM fine-tuning and Custom GPT development.
Building scalable AI-powered microservices for real-world applications.
Innovations at the intersection of robotics and AI agents.
π« How to reach me:
Email: [email protected]
Mobile: +92 320 9736185
LinkedIn: linkedin.com/in/syed-mubashir-shah
Personal Links: linktr.ee/Xyntax
β‘ Fun fact:
I thrive on bridging the gap between digital and physical AI technologies, working to drive innovation in the Fourth Industrial Revolution!
- https://linktr.ee/Xyntax
- in/syed-mubashir-shah
-
Joined
Dec 8, 2024
Highlights
Popular repositories Loading
-
Agentic-ai
Agentic-ai PublicForked from panaversity/learn-agentic-ai
Learn Agentic AI using CrewAI, LangChain, LangGraph, and Knowledge Graphs.
Jupyter Notebook
-
Modern-ai-python
Modern-ai-python PublicForked from panaversity/learn-modern-ai-python
Learn Modern AI Python with Type Hints
Jupyter Notebook
-
-
Physical-ai-humanoid-robotics
Physical-ai-humanoid-robotics PublicForked from panaversity/learn-physical-ai-humanoid-robotics
-
Cloud-native-ai-powered-microservices
Cloud-native-ai-powered-microservices PublicForked from panaversity/learn-cloud-native-ai-powered-microservices
Python
-
Generative-ai
Generative-ai PublicForked from panaverse/learn-generative-ai
Learn Cloud Applied Generative AI Engineering (GenEng) using OpenAI, Gemini, Streamlit, Containers, Serverless, Postgres, LangChain, Pinecone, and Next.js
Python
If the problem persists, check the GitHub status page or contact support.