• 🦷 I’m currently working atPromaton.

• 🚘 I developed an MLOps framework atCazoo to support the data science community in deploying, updating, and maintaining models at scale.

• 🔭 I worked atBose, where I enhanced the Bose Data Platform in leading and supporting Analytics & AI/ML workloads and applying MLOps best practices to help Data Scientists taking their models to production.

• 🚌 I have been working for a while attb.lx by Daimler Trucks & Buses, where I implemented scalable Data Pipelines in batch and streaming to feed event-driven applications and developed Machine Learning models for Predictive Maintenance solutions.

• 👨‍💻 All of my open-source projects are available here on GitHub

• 💬 Ask me about anything. I am happy to help!

• Apache Spark - Best Practices and Tuning
• How to quickly reproduce your Computer Vision Models

Let's connect and chat!

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1. TrieTriePublic

   A Mixed Trie and Levenshtein distance implementation in Java for extremely fast prefix string searching and string similarity.

   Java 43 12

2. fast-near-duplicate-image-searchfast-near-duplicate-image-searchPublic

   Fast Near-Duplicate Image Search and Delete using pHash, t-SNE and KDTree.

   Python 158 22

3. rag-chatbotrag-chatbotPublic

   RAG (Retrieval-augmented generation) ChatBot that provides answers based on contextual information extracted from a collection of Markdown files.

   Python 235 55

4. Predictive-Maintenance-using-LSTMPredictive-Maintenance-using-LSTMPublic

   Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

   Python 670 243

5. focal-loss-kerasfocal-loss-kerasPublic

   Binary and Categorical Focal loss implementation in Keras.

   Python 279 66

6. Minimalistic-Multiple-Layer-Neural-Network-from-Scratch-in-PythonMinimalistic-Multiple-Layer-Neural-Network-from-Scratch-in-PythonPublic

   Minimalistic Multiple Layer Neural Network from Scratch in Python.

   Python 25 10