Skip to content
View claudiosv's full-sized avatar

Block or report claudiosv

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
claudiosv/README.md

👋   Hey there, I'm Claudio Spiess

I'm a data scientist and software engineer. I'm currently pursuing a Master's in Computer Science at the University of California, Davis. My work revolves arround applying machine learning techniques, especially from the natural language processing community, to software engineering problems.

🧠   Expertise: Machine Learning, Data Science, Python, ML4SE, AI4Code

🔗  [Personal website] - [LinkedIn]

🎓   Education

  • Master of Science in Computer Science at University of California, Davis, USA (In Progress)
  • Bachelor in Computer Science & Engineering at Free University of Bozen-Bolzano, Bolzano, Italy (2019)
  • Computer Science Study Abroad at College of Charleston, Charleston, USA (2017)

👨‍💻   Experience

  • Graduate Student Researcher at University of California, Davis

    • Perform research on machine learning for software engineer problems, currently investigating use of BERT embeddings of trace data for code retrieval tasks. Extensive use of data analysis, deep learning, and NLP techniques.
  • Teaching Assistant at University of California, Davis

    • ECS 160 Software Engineering: Held discussion section & office hours, produced & graded homework, proctored & graded exam, answered student questions on discussion forum
  • Machine Learning Intern at Overstock.com

    • Built & deployed Streamlit app to analyze embedding spaces used in product recommender systems
    • Designed & implemented 3 core features: nearest neighbor visualizations, linear & classification probes, and catalog coverage analysis for recommender systems ML team, optimizing their development and debugging workflow
  • Junior Software Engineer at Floryn

    • Developed features & improvements on Ruby on Rails and React/TypeScript apps that managed over C185 million euros in outgoing loans at one of the Netherland’s fastest growing startups with over C78 million in funding
    • Worked within Data Science team to deploy & maintain Dockerized production Python ML inference services
    • Created system for monitoring ML model outputs & explaining decisions to non-technical stakeholders e.g. through the use of SHAP
  • Full Stack Development Intern at Datatellers Srl

    • Wrote a web app to manage geospatial data for a large engineering company using Bootstrap, jQuery, and PostgreSQL

🛠️   Skills

  • Languages:   Python, Ruby, SQL (Postgres), TypeScript
  • Frameworks:    PyTorch, Flask/FastAPI, Rails, React, Node.js
  • Developer Tools:       Git, Docker, Terraform, AWS, CircleCI, VS Code
  • Libraries:       pandas, NumPy, Huggingface, Matplotlib, plotly

Pinned Loading

  1. PhotoStack PhotoStack Public

    Innovative and easy to use personal photo collection service 🖼Uses machine learning to order and categorise photos automatically 🤖Frameworks and languages used include TypeScript, Python, React.js,…

    TypeScript 4 1

  2. node-typescript-starter node-typescript-starter Public

    🚀 Node.js starter kit with TypeScript for typing, with ESLint for linting 💅🏻, Prettier for formatting 👔, Docker for containerization 🐳, Jest for testing 🎭, and VS Code launch configuration

    TypeScript 1

  3. toodlemoodle toodlemoodle Public

    A simple CLI tool 🔨 for analyzing and attacking Moodle installations for pentesters 🔪using various publicly available exploits. Developed using Crystal 💎, the fast, natively compiled Ruby lookalike.

    Crystal 3

  4. Perry Perry Public

    Perry is an asset tracker (GPS) designed to run on an Arduino 🤖, with a React ⚛️ powered web interface and Node backend 🚀

    JavaScript

  5. network-dropbox network-dropbox Public

    A small C web server 🌍 with drag-and-drop HTML5 👌🏼 web interface for LAN file sharing

    SCSS

  6. MyCollections MyCollections Public

    A simple address book 📖 written in Java using JavaFX 💄 and JUnit for unit testing.

    Java