✨ Michael Feldman ✨
Welcome to my README page 👋
👨💻 Technical Leadership 🎯 ML/Cloud Solutions Architect 💡 Data & AI Engineering Expert
TL;DR 🤖AI/ML Engineer with deep expertise in statistics and data science. Built large-scale data systems and ML platforms at Stanford University, healthcare organizations, and tech companies. Google Cloud Hero Award recipient, with multiple certifications across AWS, Azure, and GCP. Skilled in full-stack development, specializing in data-intensive applications, cloud architecture, and ML engineering patterns.
Core Focus Areas
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Advanced AI/ML Systems
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Large Language Models
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Cloud Architecture
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Data Engineering
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Statistical Analysis
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🛠️ Tools & Technologies
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🤖 Machine Learning & AI
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🧠 Large Language Models (LLM)
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👁️ Computer Vision
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🚀 ML/AI Tools
🤗 Hugging Face 🔥 PyTorch 📊 TensorFlow 🎯 scikit-learn
📊 Statistics & Data Science
- 📈 R
- 📊 Python Scientific Stack
- pandas
- numpy
- scipy
📈 Jupyter
- ☁️ Cloud & Infrastructure
- 🌐 Open Source Cloud Tools
- 🔄 Apache Beam
- 🐳 Docker
- ☸️ Kubernetes
- 🌊 Terraform
- 📊 Prometheus/Grafana
- 🔄 Apache Airflow
💾 Databases
- 🐘 PostgreSQL
- 🍃 MongoDB
- ⚡ Redis
- 📊 Apache Cassandra
- 🌳 Apache HBase
- 🔍 Elasticsearch
🔄 Data Processing
- 🌊 Apache Spark
- 🔄 Apache Kafka
- 📊 Apache Flink
- 🏭 Apache NiFi
- 📈 Pandas
📊 Analytics & Visualization
- 📈 Apache Superset
- 📊 Grafana
- 📉 Kibana
- 🔍 Metabase
👨💻 Programming Languages
- 🐍 Python
- ☕ Java
- 🟨 JavaScript
- 💚 Node.js
- 🔵 Go
🌐 Development
- Frontend
- ⚛️ React
- 💚 Vue.js
🅰️ Angular- 📝 TypeScript
🏗️ Infrastructure
- ⚡ Serverless
- 🔄 Microservices
- 🔒 Security
- 🔄 CI/CD (Jenkins, GitLab, GitHub Actions)