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ADA-Projects/README.md

Alessandro D'Angelo

ML/AI Engineer | PhD Mathematician

Postdoc Researcher at KTH Royal Institute of Technology | Former PiSchool AI Fellow | Based in Rome


About Me

I build production-ready ML systems, specializing in real-time AI and financial applications. My background in pure mathematics (PhD in Algebraic Geometry) gives me a strong foundation for tackling complex ML problems, from low-latency translation pipelines to fraud detection systems.

Actively seeking ML/AI Engineering roles in Rome or remote. Available to start before February 2026.

Technical Skills

ML & AI Frameworks PyTorch • TensorFlow • Hugging Face • XGBoost • SHAP

Programming & Infrastructure Python • Git • Linux • Docker • Google Cloud Platform

Data & APIs MySQL • PostgreSQL • FastAPI • Streamlit

Specialized Skills

  • Real-time speech translation and NLP
  • Financial ML (sentiment analysis, fraud detection)
  • Real-time audio processing (sounddevice, VAD, streaming)
  • Mathematical modeling and optimization
  • Formal verification (Lean4)

Featured Projects

Near-Real-Time Speech Translation System (PiSchool)

Production-ready Italian-English translation pipeline for technical lecture environments

  • BLEU ≥40, COMET ≥0.75 on scientific content with ≤4s latency
  • Complete streaming pipeline: Whisper ASR → Translation → Kokoro TTS
  • Team leadership role in agile development environment
  • Technologies: Whisper, FastWhisper, Kokoro TTS, Qwen2.5, PyTorch, CUDA

Production-ready sentiment analysis for financial text using fine-tuned FinBERT

  • 79% accuracy with optimized negative sentiment detection (61% improvement)
  • FastAPI backend with Docker deployment and comprehensive testing
  • Caching, batch processing, and monitoring capabilities

End-to-end fraud detection pipeline with model interpretation

  • XGBoost classifier with 99% AUC and 80% PR-AUC
  • SHAP integration for model explainability
  • Interactive Streamlit demo for real-time predictions

Formalizing mathematical foundations in Lean4 proof assistant

  • 700+ lines of verified code for topological Krull dimension theory
  • Active pull request to mathlib (Lean's core mathematics library)
  • Technologies: Lean4, formal verification, type theory

Background

PhD in Mathematics (Algebraic Geometry) | Postdoc Researcher at KTH | Former PiSchool AI Fellow

Currently based in Rome and actively looking for ML/AI engineering opportunities (remote or Rome-based). Available to start before February 2026.

Contact

LinkedIn: alessandro-d-angelo

Academic Website: sites.google.com/view/alessandro-dangelo

Pinned Loading

  1. CC_Fraud_Detection CC_Fraud_Detection Public

    Jupyter Notebook

  2. Financial-sentiment Financial-sentiment Public

    Python

  3. Lean-AG Lean-AG Public

    Lean formalisation project in algebraic geometry.

    Lean

  4. Lang-Lands Lang-Lands Public

    Python