Tom Suter
Senior Data Scientist | AI & Full-Stack Development
Salary / Daily rate
Lausanne, Switzerland
Freelance, open to permanent contract
Can come onsite
Skills
Languages
About me
Intro
Full-stack developer & data scientist with 6+ years building AI-driven applications and scalable data pipelines. Co-founded EasyApplAI using Next.js/TypeScript, developed precision medicine neural networks, and optimized data engineering at fintech scale. Specialized in LLM integration, Python/Django backends, and turning complex data into actionable insights for fast-growing companies.
Work experience
Co-Founder
EasyApplAIFreelance
Apr 2025 - Present
1 year 7 months
Led full-stack development of EasyapplAI.com, leveraging Next.js, TypeScript, and Supabase for a scalable and robust application architecture. Designed and implemented AI-driven features by integrating various LLM APIs and the Instructor library for advanced resume parsing, content generation
Data Scientist
Metadvice
Sep 2023 - Mar 2025
1 year 7 months
Improved data engineering pipelines Developed precision medicine neural networks Maintain a scalable Django backend
SwissBorg
Mar 2019 - Dec 2022
3 years 10 months
Senior DataScientist
Jan 2022 - Dec 2022
1 year
- Perform analyses and build automated reporting on users such as pricing different products, forecasts the usage of the app, fraud analysis (SQL, python) - Research for the investment department, including trading strategies based on machine learning, trend following (Scikit, Keras, Plotly) - Analysis and backtest of different products composability and performance such as Thematics and DCA (python, scrapping, sql) - Maintain ETL pipelines and update API endpoints (Airflow, python, Websocket, rest framework) - Research on computationally optimised solutions for transcendental equations (python, numerical approximations)
DataScientist
Mar 2019 - Dec 2021
2 years 10 months
- Create from scratch data management processing pipelines (Airflow, Segment, AWS) - Build dashboard to report of the status of the company objectives and performance (Metabase, SQL, Google API) - Create, manage and maintain structure of the database (Redshift, SQL, AWS) - Scrapping of various DeFi projects (Beautiful Soup) - Analysis of the electric consumption related to the functionalities of the App for ESG purposes - Analysis of “crowd intelligence” in order to optimise price prediction
Master's Thesis
University of California, Berkeley
Mar 2018 - Oct 2018
8 months
Characterise the speed of spreading of an pathogen whose jump distances follow power law distribution. Using lattice-based simulations (C++) and scaling arguments I modelled the asymptotic speed expected. I added stochasticity and space travelled as a constraint (non-instantaneous jumps). Assuming a controlled way to implement the cost, we present theoretical results supported by simulations, whether one wants to accelerate the spreading or to slow it down.
Education
University of California, Berkeley
Master's degree, Evolutionary Dynamics
2018 - 2018
1 year
EPFL
Master's degree, Physique
2013 - 2018
6 years