Gonçalo Hora de Carvalho

Company Overview: Icelandic Institute for Intelligent Machines (https://www.iiim.is/)

• Supported quantitative work with data sets.
• Managed team of 5 engineers (including interns) by creating schedules, and overseeing contract obligations or deadlines.
• AI Research & Development: Implementing multimodal models, RAG, ViT, tabular ML, LLMs, etc.
• Client Engagement & Strategic Planning: Engage with clients to define AI solutions, draft project proposals, and write grant applications.
• Collaborated with cross-functional teams to deliver high-quality research results within project deadlines.

Company Overview: University Medical Center Groningen, the Netherlands

• Introduced Python, and integrated collaboration and organizational software in the group's workflow, such as GIT, Jupyter notebooks, overleaf, etc.
• Streamlined data collection methods to minimize analysis errors.
• Automated repetitive tasks using scripting languages such as Python or R, saving time during the analytical process significantly.
• Evaluated emerging technologies to assess potential applications within the organization''s existing infrastructure or future projects.

Company Overview: University of Groningen, the Netherlands

• Qualitative research project for the VSNU Kennistafel knowledge table on the current state of higher
  education AI studies in the Netherlands;
• Board member (Commissioner of Educational Affairs) at COVER - Groningen University study Association for
  Artificial Intelligence, Computer Science and Computational Cognitive Science (MSc and BSc) students;
• Committee co-founder and member of DataDump - the data committee of COVER;
• Teaching assistant for Autonomous Systems at RUG, University of Groningen, the Netherlands;
• Teaching assistant for Cognitive Psychology at RUG, University of Groningen, the Netherlands;
• Teaching assistant for DASH winter school, as a data scientist;
• Teaching assistant for DASH summer school, as a data scientist;
• Teaching assistant for Amsterdam UMC, translating Machine Learning algorithms from Matlab to Python;

Company Overview: University Medical Center Groningen, the Netherlands

• Worked well in a team setting, providing support and guidance.
• Coordinated schedules and timelines for events.
• Increased event attendance by strategically marketing and promoting events through various channels (~300 attendees to most in-person events and ~30 to online events).
• Participated in strategy development and planning to grow organizing program and advance campaigns.
• Organized and facilitated investigator and coordinator meetings, conferences and events associated with research activities.

Company Overview: ITEMIS Germany

• Compiled research data and gave professional presentations highlighting finds and recommended optimizations.
• Built shared in-house code library for team use on multiple projects on different platforms.
• Utilized deep learning frameworks to develop high-performance neural networks for complex tasks, including multimodal models, transformers, ViTs, etc.

Company Overview: Icelandic Institute for Intelligent Machines (https://www.iiim.is/)

• Contributed to open-source AI projects as a way to stay current with industry advancements and give back to the community.
• Developed ML algorithms to analyze huge volumes of historical data to make predictions.
• Collaborated with international teams of data scientists to integrate AI solutions into broader analytics projects, enhancing overall results.

Company Overview: Pennie Solutions Amsterdam, the Netherlands

• Developed custom machine learning algorithms for specific industry needs, resulting in improved performance and efficiency.
• Composed production-grade code to convert machine learning models into services and pipelines to be consumed at web-scale.
• Promoted a positive work environment by fostering teamwork, open communication, and employee recognition initiatives with a team of 4 engineers under my supervision.

Company Overview: Research Internship at UMCG, the Netherlands, Cardiology ML Department

• Supported staff members in their daily tasks, reducing workload burden and allowing for increased focus on higher-priority assignments.
• Utilized deep learning frameworks to create robust neural networks for image recognition tasks (e.g. segmentation), enhancing system capabilities significantly.

Overview: COVER - Groningen University study Association for Artificial Intelligence, Computer Science and Computational Cognitive Science students

• Served as advocate and ambassador for organization by fully engaging, identifying, and securing resources and partnerships to advance mission.
• Collaborated with other board members to develop and execute programs and initiatives to advance organizational mission.
• Organized "COVERTalks", where I invited and spoke to experts from different fields such as Joscha Bach - Cognitive Science PhD, and Stephen Wolfram - Physicist and Computer Scientist.
• Organized "BootCamps", where experts were invited to teach students specific skills (e.g. learning python for ML, studying effectively, and mental health during
  Covid-19).
• Co-organized a symposium (~300 attendees) on accountability, responsibility and transparency in Computer Science and AI (Covers A.R.T. Symposium) featuring digital security expert and Wiki-leaks co-creator Daniel Domscheit-Berg.