I have experience as a Data Engineer, Machine Learning Engineer, Organization/Process designer, and Team Leader. I'm looking for part-time work while pursuing personal projects connected both to software and organizational theory.
My focus is on Python and Scala, even though I have professional experience in several different languages that I can brush up on if needed.
I have plenty of experience in translating business needs or research code into actionable requirements. This includes first and foremost effective communication skills, mediation, and facilitation of meetings. If it's of interest, I can bring to your organization more effective meeting practices and review your process and practices around software development and decision making.
I'm also proficient in prototyping and software for internal use, using no-code tools like Notion or Airtable and automation suites like Zapier or n8n.
First year: organizational development of all the decision-making and operational processes and institutions of AI Forensics. Second ...
First year: organizational development of all the decision-making and operational processes and institutions of AI Forensics. Second year: development of an end-to-end experiment platform to interrogate LLM chatbots and RAG systems (i.e. Bing Chat, Bard). Leadership of a project investigating the impact of LLMs on electoral integrity in Switzerland and Bavaria.
Development of user-facing REST API Platform to run proprietary ML pipelines on small and big user datasets. Development of internal t...
Development of user-facing REST API Platform to run proprietary ML pipelines on small and big user datasets. Development of internal tools for Data Scientists. In-depth testing of REST API. Maintenance of development tools, CI and CD. Productization of ML algorithms developed by the data scientist. Coordination of the BE team. Involvement in planning and analysis activities alongside other team leaders and C-level.
Development of the company’s core product: a system to ingest and process cellular network signals to extract information through ad...
Development of the company’s core product: a system to ingest and process cellular network signals to extract information through ad-hoc models. Productization of existing algorithms developed by the Data Science Team, development of new models on my own, development of a data quality monitoring system, performance optimization.