hello world, i'm michael :)

honors cs + data science @ ucf

interested in ML, mathematics, and data.
i like training complex models, experimenting w/ hpc, serving/scaling those models

i also love open-source : )

           

previously interned at

  

a few tools i reach for

Python   PyTorch   C++   CUDA   Transformers   Polars   Docker   Linux

the rest of the toolbox

methods
Fine-Tuning Model Distillation Distributed Systems/Training Statistical Tests A/B Testing RL Mixed Precision XAI RAG CV NLP Embedded Systems Data Structures & Algorithms Object-Oriented Programming CI/CD

ml & data
PyTorch TensorFlow Keras scikit-learn XGBoost LightGBM Transformers Hugging Face OpenCV NumPy Polars pandas SciPy Matplotlib Seaborn NoSQL

low-level systems
C++ CUDA Metal ONNX TensorRT Linux/Unix ROS 2 Arduino Unity

infrastructure
Apache Spark Databricks Docker Kubernetes Kubeflow MLflow Flask FastAPI Apache Kafka BigQuery PostgreSQL MongoDB Redis AWS Azure Google Cloud (GCP) Git CI/CD ETL vLLM

languages
Python C++ C SQL R Bash Java Go Rust C# JavaScript TypeScript

tooling & workflow
Jupyter Anaconda Kaggle JSON .NET GitHub Actions VS Code Neovim

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curiosity is the most powerful thing you own.   neovim, btw.