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AIMindCrafter/ReadMe.md
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Muhammad Zeeshan Malik

AI Engineer • Generative AI • LLMs • AI Agents

Building reliable, scalable, and observable AI systems—end-to-end.

🧠 About Me

AI Engineer specializing in Generative AI, Large Language Models (LLMs), and Autonomous AI Agents.
I design and deploy intelligent systems using LangChain, LangGraph, and RAG, backed by solid engineering with FastAPI, Docker, and LLMOps practices.

  • End-to-end agentic workflows that plan, reason, use tools, and interact with humans
  • Production-grade focus on reliability, observability, evaluations, and safety
  • Experience across open-source and API models (OpenAI, Anthropic, Google, HF)

Currently pursuing a BSc in Computer Science with a focus on applied AI.
Open to collaborations, internships, and full-time roles in GenAI, Agentic AI, and AI infrastructure.

🔗 Professional Network

Platform Profile
LinkedIn https://linkedin.com/in/zeeshanmalik
GitHub https://github.com/AIMindCrafter
Kaggle https://kaggle.com/zeeshanmalik
Stack Overflow https://stackoverflow.com/users/22225216/zeeshan-malik
ResearchGate https://researchgate.net/profile/Muhammad-Zeeshan-Malik

🛠️ Technical Stack

  • GenAI & LLMs: LangChain, LangGraph, LlamaIndex, Transformers, Llama 3, Mistral, RAG
  • AI Agents: Tool use, Planning, Multi-agent, Human-in-the-loop, CrewAI, AutoGen
  • LLMOps: LangSmith (tracing/eval), RAGAS, Guardrails, Prompt Engineering, Monitoring
  • Backend & APIs: FastAPI, REST, Docker, Uvicorn, Streamlit
  • Vector & Databases: FAISS, Chroma, Pinecone, Weaviate, PostgreSQL
  • Cloud & DevOps: AWS, Azure, GCP, Hugging Face Spaces, Linux, Bash, Cron
  • Core Languages: Python, SQL, Bash

🎓 Education

BSc in Computer Science
Islamia University of Bahawalpur (IUB)
Expected Graduation: 2026

📜 Certifications

Certification Issuer Date Credential
Supervised Machine Learning: Regression and Classification DeepLearning.AI / Stanford July 2025 https://www.coursera.org/account/accomplishments/verify/ASVRDMP5VZ4R
Neural Networks and Deep Learning DeepLearning.AI July 2025 https://www.coursera.org/account/accomplishments/verify/RM3OMVG18E5L
Hands-on Introduction to Linux Commands and Shell Scripting IBM July 2025 https://www.coursera.org/account/accomplishments/verify/OBX2T75WH7L5

📬 Get in Touch

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  1. machine-learning-specialization-andrew-ng machine-learning-specialization-andrew-ng Public

    Forked from pmulard/machine-learning-specialization-andrew-ng

    A collection of notes and implementations of machine learning algorithms from Andrew Ng's machine learning specialization.

    Jupyter Notebook

  2. Portfolio Portfolio Public

    �� AI Developer: Passionate about building intelligent systems and leveraging machine learning to solve complex problems. Always exploring cutting-edge AI technologies and algorithms to create innov…

    1

  3. project-based-learning project-based-learning Public

    Forked from practical-tutorials/project-based-learning

    Curated list of project-based tutorials

    1

  4. Corvit-Ai-Course-Documentation- Corvit-Ai-Course-Documentation- Public

  5. DSA-in-JAVA DSA-in-JAVA Public

    Java

  6. roadmap.sh roadmap.sh Public

    Forked from kamranahmedse/developer-roadmap

    Interactive roadmaps, guides and other educational content to help developers grow in their careers.

    TypeScript 1