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Report abuseEducator turned AI Engineer | Bridging complex AI concepts with production-ready solutions
I'm passionate about building end-to-end machine learning systems that solve real-world problems. With 8 years of experience in education and technology, I specialize in MLOps, cloud engineering, and AI application development.
📍 Dublin, Ireland | 🎓 Assistant Lecturer at Dorset College | 📧 patel.m9521@gmail.com
Feel free to check out my work and thoughts on AI/ML:
MLOps & Production Systems • Cloud Engineering (AWS) • AI Application Development • Multi-Agent AI Systems
I architect complete ML solutions from research to production, with expertise in automated pipelines, scalable cloud infrastructure, and intelligent AI agents that process multimodal data.
| Project | Description | Tech Stack |
|---|---|---|
| Network Security MLOps Pipeline | Production-ready system detecting malicious URLs with automated CI/CD | AWS, Docker, FastAPI, MLflow |
| Multi-Agent Financial AI | Intelligent system automating comprehensive stock analysis | Python, Agno, Groq, FastAPI |
| Video Summarizer AI | Multimodal AI agent for video understanding and research | Google Gemini, Streamlit, Agno |
| PyTorch FoodVision | End-to-end computer vision system for food classification | PyTorch, FastAPI, Flask |
| AWS SageMaker Pipeline | Complete ML pipeline for mobile price classification | AWS SageMaker, S3, Scikit-learn |
Currently Reading: Deep Learning by Ian Goodfellow • Hands-On Machine Learning by Aurélien Géron
Interests: Logic Puzzles (Sudoku, Kakuro, Hidato, Nonograms) • Speedcubing (3x3-5x5, Mirror Cube) • Chess • Pattern Recognition Games • Perfecting espresso shots ☕
"At the intersection of education and innovation, every complex problem becomes a teaching moment."
An end-to-end MLOps project for classifying malicious URLs, featuring a full CI/CD pipeline with GitHub Actions, Docker, and deployment to AWS EC2.
A modular PyTorch project showcasing the journey from research notebook to a structured image classifier, complete with TensorBoard experiment tracking and a live web demo using FastAPI & Flask.
Jupyter Notebook
An end-to-end MLOps project for text summarization using the HuggingFace Pegasus model. Includes a full training pipeline, evaluation, and a FastAPI for deployment.
An intelligent video analysis agent built with agno, Google Gemini, and Streamlit that summarizes video content and answers questions using multimodal AI and supplementary web research.
Python
A multi-agent AI system powered by Groq and Agno that performs comprehensive financial analysis by combining real-time stock data with web-based market research.
Python 1
An end-to-end machine learning project demonstrating how to train, deploy, and serve a Scikit-learn classification model on AWS SageMaker for predicting mobile phone prices.
Jupyter Notebook
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