Multi-agent RAG system designed to resolve customer support tickets with grounding, citations, and safety controls
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Mar 31, 2026 - Python
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ai-ml-engineering
Here are 19 public repositories matching this topic...
Python solutions to Deep-ML practice problems — explained, implemented, and benchmarked across NumPy, PyTorch, CUDA & Tinygrad.
python machine-learning deep-learning python-library machine-learning-algorithms deep-learning-algorithms machine-learning-library deep-learning-library from-scratch machine-learning-engineering deep-learning-visualization ai-ml ai-ml-engineering
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Aug 20, 2026 - Python
I built the ShoppingCart class with input validation, threshold-based discounting, and non-destructive cart merging. I also added a demo script, 23 pytest tests, and a futuristic README.
python unit-testing shopping-cart clean-code oop python3 pytest software-engineering e-commerce object-oriented-programming learning-project protfolio classes-and-objects ai-ml-engineering
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Sep 22, 2026 - Python
AI/ML career-transition journal web app with Firebase Auth, Firestore, and Gemini multi-turn coaching, deployed on Cloud Run via Google AI Studio.
nodejs javascript web-app firebase-auth cloud-firestore gemini-api google-cloud-run secret-manager generative-ai google-ai-studio journaling-app ai-ml-engineering
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Sep 19, 2026 - TypeScript
Pandas-based exploratory analysis of 1,025 heart disease patient records: KaggleHub loading, missing-value audit, iloc selection and boolean filtering in a reproducible Jupyter notebook.
python data-science machine-learning exploratory-data-analysis jupyter-notebook pandas kaggle data-analysis heart-disease google-colab healthcare-analytics boolean-indexing kagglehub ai-ml-engineering
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Sep 22, 2026 - Jupyter Notebook
[AI & ML Engineering] Find material swatches using text and image features. Sixteen original material swatches; Text similarity and color/texture image features.
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Oct 18, 2026 - Python
A deep neural network built with TensorFlow/Keras achieving 98.44% test accuracy on MNIST handwritten digit classification using Batch Normalization, Dropout regularization, and adaptive training callbacks.
python machine-learning deep-neural-networks computer-vision deep-learning neural-network tensorflow keras jupyter-notebook mnist batch-normalization image-classification digit-recognition dropout-regularization ai-ml-engineering
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Sep 9, 2026 - Jupyter Notebook
When does fine-tuning beat a good prompt? Depends on volume.
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Oct 18, 2026 - Python
[AI & ML Engineering] Assemble a release review from local changes. Allowlisted local inspection and test workflow; Passing-test gate, content cache and audit records.
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Oct 18, 2026 - Python
A FastAPI web application for customer segmentation using Machine Learning (KMeans Clustering)
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Feb 7, 2026 - Jupyter Notebook
Fails the build when a prompt edit makes the output worse.
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Oct 18, 2026 - Python
[AI & ML Engineering] Ask bounded sales questions safely. Five supported sales-question intents; Parameterized SQL with read-only access.
portfolio artificial-intelligence cybersecurity application-security ai-assisted ai-ml-engineering documented-project
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Oct 18, 2026 - Python
What actually makes inference fast, with the numbers.
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Oct 18, 2026 - JavaScript
[AI & ML Engineering] Answer engineering runbook questions with evidence. Incremental SQLite FTS5 runbook retrieval; Source-linked extractive answers.
python search portfolio sqlite artificial-intelligence fts5 ai-assisted ai-ml-engineering documented-project
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Oct 18, 2026 - Python
[AI & ML Engineering] Compare model answers using repeatable evidence. Actual direct and context-assisted FLAN runs; Exact-match and token-overlap scoring.
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Oct 18, 2026 - Python
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