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FederCO23/README.md

πŸ‘‹ Hi, I’m Federico Bessi (@FederCO23)

About Me

  • πŸ‘€ Passionate about Software Engineering, Machine Learning, and Mountain Biking.
  • πŸ€– Currently focused on Computer Vision and Natural Language Processing, applying ML to real-world problems.
  • πŸ’žοΈ Open to collaborating on projects involving ML pipelines, model optimization, and research, always combined with solid software engineering practices.
  • πŸ“« Reach me at [email protected] or connect on LinkedIn.
  • ⚑ Fun fact: I love exploring new mountain bike trails and riding with friends, whenever I get the chance πŸ˜„

Skills

  • πŸ’» Programming: Python, JavaScript, C++, Git
  • 🧠 Machine Learning & AI: Scikit-learn, TensorFlow, PyTorch, Hugging Face, Google AI Studio, LangChain, LlamaIndex
  • πŸ–ΌοΈ Computer Vision: OpenCV, scikit-image, Pillow, imageio, Torchvision, YOLO
  • πŸ’¬ NLP: Transformers, Sentence-BERT, Vector Search (FAISS), RAG
  • 🌎 GIS: Rasterio, pySTAC, GeoPy, TorchGeo | Tools: ArcGIS, QGIS | Engines: GEE, BDC
  • ☁️ Cloud & MLOps: AWS (Lambda, Batch, ECS, Step Functions, API Gateway), Flask, Docker 🐳
  • πŸ“Š Data Science & Analytics: Pandas, NumPy, DuckDB, Power BI, matplotlib, seaborn, Streamlit, Looker Studio
  • πŸ–₯️ Operating Systems: Linux (CompTIA certified)
  • πŸ—ƒοΈ Structured Databases: SQL, PL/SQL (PostgreSQL, MySQL, Oracle, MariaDB, SQL Server)
  • πŸ—‚οΈ Vector & NoSQL Databases: Milvus, Elasticsearch, FAISS, MongoDB
  • πŸ“ˆ Project Management: PMI and Agile/Scrum certified

Languages

  • Fluent in Spanish, French, Portuguese, and English

πŸ’‘ β€œBuilding intelligent systems that see, read, and understand the world, one model at a time.”

Pinned Loading

  1. ML_fromScratch ML_fromScratch Public

    A collection of Machine Learning algorithms built from scratch to demystify the fundamentals behind them.

    Jupyter Notebook 1

  2. UCSD_MLBootcamp_Capstone UCSD_MLBootcamp_Capstone Public

    This repo contains the submission for the Bootcamp Capstone project

    Jupyter Notebook 21 3

  3. aws-samples/customer-churn-sagemaker-pipelines-sample aws-samples/customer-churn-sagemaker-pipelines-sample Public

    Jupyter Notebook 8 15

  4. AWS-ML_Satellite_Deployment AWS-ML_Satellite_Deployment Public

    This repo contains the AWS deployment of a Machine Learning model for detecting solar panels from satellite imagery.

    Jupyter Notebook 7

  5. torchgeo torchgeo Public

    Forked from torchgeo/torchgeo

    TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

    Python

  6. FedeNet FedeNet Public

    FedeNet β€” A dual-stream CNN that fuses spatial and frequency cues for efficient blur and flip detection with only 23K parameters.

    Python 1