ML/AI Engineer | PhD Mathematician
Postdoc Researcher at KTH Royal Institute of Technology | Former PiSchool AI Fellow | Based in Rome
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.
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)
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
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.
LinkedIn: alessandro-d-angelo
Academic Website: sites.google.com/view/alessandro-dangelo