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From Beginner to Builder πŸš€
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From Beginner to Builder πŸš€

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machinelearningzuu/README.md

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πŸ‘‹ Head of AI Engineering @ Veracity Group

πŸŽ“ Founder @ Zuu Crew AI β€” Sri Lanka’s first ML focused Academy

⚑ LLMs β€’ Agentic AI β€’ Graph ML β€’ Predictive ML β€’ MLOps β€’ Computer Vision


🌐 Connect with Me

LinkedIn GitHub Medium YouTube Instagram Facebook


🧠 About Me

I’m Isuru Alagiyawanna, currently the Head of AI Engineering at Veracity Group, where I lead multiple teams across NLP, Computer Vision, and Data Analytics to build AI products that actually ship and scale.

I’m also the Founder of Zuu Crew AI, a hands-on ML & AI engineering academy focused on turning learners into production-ready ML engineers – not just tutorial finishers.
🌐 Zuu Crew: https://zuucrew.ai
βœ‰οΈ Zuu Crew email: hi@zuucrew.ai

Over the past years I’ve:

  • Built LLM and agentic AI–powered systems for real-world use cases (RAG, workflow automation, voice agents, decision support tools).
  • Led end-to-end AI projects from data β†’ models β†’ MLOps β†’ deployment, especially in telecom, finance, and operations.
  • Taught and spoken at meetups, bootcamps, and conferences on Generative AI, LLMs, and Agentic Workflows – including talks on how to take models from notebooks to production.
  • Been awarded an AWS Machine Learning Engineer Nanodegree Scholarship (Udacity).
  • Completed 150 Coursera Certifications & 50 DeepLearning.AI Certifications.

I care about two things a lot:
(1) Making AI systems reliable in production, and
(2) Making advanced ML concepts understandable for engineers, founders, and students.


πŸ’Ό Consulting & Advisory

Outside of my full-time role and teaching, I also work with teams and founders on:

  • LLM & Agentic AI Consulting – designing RAG/agentic architectures, context engineering, and evaluation strategies.
  • Production ML & MLOps – helping teams move from POCs to stable, observable production systems.
  • Architecture & Codebase Reviews – reviewing ML/LLM pipelines, repos, and data flows for robustness and scalability.
  • Workshops & Internal Upskilling – custom sessions for engineering / product teams on LLMs, agentic workflows, and production ML.

πŸ“© Consulting inquiries: consult@machinelearningzuu.com


🧬 Areas of Expertise

  • LLMs & Generative AI
  • Graph ML
  • Predictive ML
  • MLOps & Production ML
  • Computer Vision

πŸ› οΈ Tech Stack & Tools

  • Languages: Python, Java, SQL
  • Core ML/DL: PyTorch, TensorFlow, Keras, scikit-learn
  • LLM & Agentic Ecosystem:
    • Hugging Face Transformers, LangChain, LangGraph, LlamaIndex, OpenAI API
  • Data & Big Data:
    • Pandas, NumPy, Apache Spark
  • Cloud & Infra:
    • AWS, GCP, Azure
  • MLOps & DevOps:
    • Docker, Kubernetes, MLflow, Weights & Biases, CI/CD (GitHub Actions, etc.)
  • Other:
    • Linux, Git/GitHub, VS Code, Jupyter

πŸ“Š GitHub Stats

Some fun metrics β€” not a measure of impact, just activity.

GitHub Stats
GitHub Streak
Top Languages
GitHub Activity Graph


🌍 Find Me Around the Web

If you’re building something with LLMs, Agentic AI, or production ML and want to jam, feel free to reach out.
Collabs, consulting, and teaching opportunities are always welcome. πŸš€

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