https://github.com/machinelearningzuu/machinelearningzuu
https://github.com/machinelearningzuu/machinelearningzuu
Last synced: 3 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/machinelearningzuu/machinelearningzuu
- Owner: machinelearningzuu
- Created: 2020-10-30T11:21:51.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2024-04-11T12:08:19.000Z (about 2 years ago)
- Last Synced: 2025-02-04T17:17:22.992Z (over 1 year ago)
- Size: 1.04 MB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README

### π Head of AI Engineering @ Veracity Group
### π Founder @ Zuu Crew AI β Sri Lankaβs first ML focused Academy
#### β‘ LLMs β’ Agentic AI β’ Graph ML β’ Predictive ML β’ MLOps β’ Computer Vision

---
### π Connect with Me
[](https://www.linkedin.com/in/machinelearningzuu/)
[](https://github.com/machinelearningzuu)
[](https://medium.com/@machinelearningzuu)
[](https://www.youtube.com/@MachineLearningZuu)
[](https://www.instagram.com/machinelearningzuu/)
[](https://www.facebook.com/100011256307924)
---
### π§ About Me
Iβm **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.
Iβm also the **Founder of Zuu Crew AI**, a hands-on ML & AI engineering academy focused on turning learners into **production-ready ML engineers** β not just tutorial finishers.
π Zuu Crew: [https://zuucrew.ai](https://zuucrew.ai)
βοΈ Zuu Crew email: **hi@zuucrew.ai**
Over the past years Iβve:
- Built **LLM and agentic AIβpowered 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** β 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.
---
### πΌ Consulting & Advisory
Outside of my full-time role and teaching, I also work with teams and founders on:
- **LLM & Agentic AI Consulting** β designing RAG/agentic architectures, context engineering, and evaluation strategies.
- **Production ML & MLOps** β helping teams move from POCs to stable, observable production systems.
- **Architecture & Codebase Reviews** β reviewing ML/LLM pipelines, repos, and data flows for robustness and scalability.
- **Workshops & Internal Upskilling** β custom sessions for engineering / product teams on LLMs, agentic workflows, and production ML.
π© **Consulting inquiries:** `consult@machinelearningzuu.com`
---
### 𧬠Areas of Expertise
- **LLMs & Generative AI**
- **Graph ML**
- **Predictive ML**
- **MLOps & Production ML**
- **Computer Vision**
---
### π 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
---
### π GitHub Stats
> _Some fun metrics β not a measure of impact, just activity._




---
### π Find Me Around the Web
- πΌ **LinkedIn:** [Isuru Alagiyawanna](https://www.linkedin.com/in/machinelearningzuu)
- π₯ **YouTube:** [MachineLearningZuu](https://www.youtube.com/@MachineLearningZuu)
- πΈ **Instagram:** [@machinelearningzuu](https://www.instagram.com/machinelearningzuu/)
- βοΈ **Medium:** [@machinelearningzuu](https://medium.com/@machinelearningzuu)
> If youβre 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._ π