I’m a multilingual AI Engineer and Data Scientist based in Zurich, working at the intersection of generative AI, cloud systems, medical science, and longevity research.
Currently a GenAI Engineer at Studio Jadu, I build practical AI systems for creative production. Before that I shipped data platforms and cloud tooling at Mirai Solutions (including work with Zurich Insurance and Oasis LMF), and earlier led ML for drug discovery and lifespan research.
- GenAI Engineer — Studio Jadu (Oct 2025–Present, Zurich) — generative AI for animation and creator workflows
- Data & Software Engineer — Mirai Solutions (2023–2025, Zurich) — high-performance Python/Polars analytics, Azure CI/CD, Linux runtime tuning (25–40% latency reduction)
- Lead Data Scientist & Software Engineer — Rejuvenate Biomed (2021–2023) — ML for drug discovery, text mining, and probabilistic modeling
- Lead Data & Software Engineer — Rarespot (2021–2023) — blockchain/NFT market intelligence with Python, R, SQL, and AWS
- Scientific Researcher — ETH Zürich (2019–2020) — CRISPR-Cas9 sgRNA generation at scale; genomic APIs and statistical models
- Scientific Researcher — University of Liverpool (2020–2021) — quantitative bioinformatics for lifespan extension
- MSc, Mechatronics, Robotics, and Automation Engineering — ETH Zürich (2017–2020)
- BSc, Computer Science — University of Rome Tor Vergata, summa cum laude (2014–2017); thesis on ontology matching visualization (OntoChord / GENOMA)
- EITCA Artificial Intelligence — deep learning, TensorFlow, PyTorch, Google Cloud AI (2023)
- Evidence-based health optimization and longevity research
- Generative AI, vision, and agentic developer tooling
- Scientific analysis of supplements, protocols, and emerging therapies
- Cloud platforms (AWS, Azure), APIs, and reproducible automation
- Financial technology, risk modeling, and long-term planning
- Digital storytelling, video production, and multilingual communication
- GenAI pipelines for creative and scientific workflows
- Research tools for organizing health and biomedical information
- Cloud and automation systems with CI/CD and security scanning
- Data platforms, dashboards, and interactive analysis tools
- Educational content and technical guidelines (e.g. Mirai Python guides)
Cloud, DevOps & Infrastructure
Top skills from day-to-day work: Python, R, Azure, Data Science, AI Vision, Docker, TypeScript.
- Building GenAI systems that keep humans in creative control
- Making longevity and biomedical research more actionable
- Lightweight, reproducible cloud and analytics workflows
- Learning, travelling, hiking, dancing, and exploring new cultures
- Communicating across English, Italian, and German-speaking contexts
- visionflow — video generation & evaluation platform with WAN 2.1 and LangChain orchestration
- Cursor-Local-llm-MCP-proxy — MCP server for local LLMs with agent validation and speculative decoding
- farfalle — self-hosted AI search engine for local or cloud LLMs
- ai-ipf-aging-toolset — AI toolset for IPF and aging research
- pdf-ai-mapper — PDF/image categorization and search with ML and OCR
- LLM-TabGrouping-Chrome-Extension — Chrome extension that clusters open tabs via an LLM API
Curiosity without rigor becomes noise.
Rigor without communication stays invisible.
The goal is useful understanding.
Affiliations
- Studio Jadu
- ETH Zürich
- Artificial Intelligence Research (ART) lab, Tor Vergata University (Rome)
Scientific portfolio
- ORCID: 0000-0002-8885-3934
- doi.org/10.1016/j.jbc.2022.102085 — lifespan-associated gene expression (Coro7, Set)
- doi.org/10.3389/fgene.2021.694033
- hdl.handle.net/2108/211477
Also
- Python technical guidelines for enterprise settings: mirai-solutions.ch
I’m open to conversations about GenAI, longevity research, scientific communication, cloud automation, and interesting technical experiments.
- Email: davide_vitiello@outlook.com
- LinkedIn: linkedin.com/in/davidevitiello0




