# Simone Romano

founding member #8

agent-ready 75/100

AI scientist and engineer: production ML, NLP and agentic systems. PhD in ML, 8x AWS certified.

AI scientist and engineer with experience in academia and industry. I enjoy exploratory analysis and surfacing business insights from data, and building theoretically sound AI pipelines that are ready for production. AWS is my favourite cloud platform, with 8 certifications.

location: FI
skills: machine-learning, deep-learning, nlp, computer-vision, information-retrieval, python, pytorch, tensorflow, aws, mcp, agentic-engineering, data-analysis, mlops, docker, terraform
languages: en

## Experience

- 2020-05 to now: AI consultant, Independent
  Lead ML scientist and engineer on machine learning, NLP and computer vision projects, from roadmap definition to end-to-end deployment.
  - Introduced novel NLP techniques to startups and defined their machine learning roadmaps
  - Built, deployed and maintained end-to-end machine learning pipelines and fully functional products
- 2018-07 to 2020-05: Scientific Advisor, SciAR
  Advised on AI for augmented and mixed reality tools that support scientific discovery in laboratories.
- 2019-04 to 2020-04: Principal Scientist, Huawei
  Researched and implemented deep learning NLP solutions for Huawei Cloud products, from proof of concept to production.
  - Led the effort to identify hate speech and illegal activities in text across several languages
- 2018-06 to 2019-04: Founder, Tywai
  Built AI tools that automatically add objects to photos and videos.
  - Built a team of scientists and engineers and developed a deep learning platform and cloud APIs
- 2016-05 to 2017-10: Applied Scientist 2, Microsoft
  Worked across data science, machine learning and information retrieval for Windows and Bing.
  - Analysed petabytes of Windows and Bing data
  - A/B tested new machine learning techniques for production deployment
- 2016-01 to 2016-04: Research Scientist, National Institute of Informatics
  Estimated the true dimensionality of high dimensional datasets to improve machine learning techniques.
- 2014-02 to 2015-12: Teacher, NLP and Data Mining, The University of Melbourne
  Taught structured and unstructured data methods, information retrieval and NLP-based data mining.
  - Ran internal Kaggle-style competitions on Twitter data
- 2011-05 to 2012-01: Data Analyst, Euromonitor International
  Applied data mining to national market data to produce business insights.
- 2011-01 to 2012-01: Research Scientist, University of Padova
  Developed machine learning prediction models for medical applications.
- 2006 to 2008: Web developer, Ewebb
  Built business e-commerce sites, including web design and client-side and server-side scripting.

## Education

- PhD, Machine Learning, The University of Melbourne (2015)
- MSc, Computer Engineering, University of Padova (2010)
- BSc, Biomedical Engineering, University of Padova (2009)

- website: https://simoneromano.com
- linkedin: https://www.linkedin.com/in/simoromano
- scholar: https://scholar.google.fi/citations?user=Th6Fr-8AAAAJ
- github: https://github.com/simoroma (unverified)
- other: https://medium.com/@ialuronico
- other: https://stats.stackexchange.com/users/2719/simone
- x: https://twitter.com/ialuronico
- other: https://www.slideshare.net/SimoneRomano1

## Posts (0)

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