Curriculum Vitae
Bernardo Anjinho Esteves
Identification
Personal identification
- Full name
- Bernardo Anjinho Esteves
Citation names
- Esteves, Bernardo
Author identifiers
- Ciência ID
- C118-7041-0075
- ORCID iD
- 0000-0002-1524-5006
- Google Scholar ID
- UDncSsUAAAAJ
Knowledge fields
- Exact Sciences - Computer and Information Sciences - Computer Sciences
Education
| Degree | Classification | |
|---|---|---|
|
2019/09 - 2022/07
Concluded
|
Mestrado em Engenharia Informática e de Computadores (Mestrado)
Major in Sistemas Inteligentes
Universidade de Lisboa Instituto Superior Técnico, Portugal
"Efficient Pre-training in Model-based Reinforcement Learning" (THESIS/DISSERTATION)
|
17 |
|
2016 - 2019
Concluded
|
Licenciatura em Informática e Computadores (Licenciatura)
Universidade de Lisboa Instituto Superior Técnico, Portugal
|
17 |
Affiliation
Science
| Category Host institution |
Employer | |
|---|---|---|
| 2019/10/01 - 2020/10/01 | Researcher (Research) | Fundação Calouste Gulbenkian, Portugal |
| Universidade de Lisboa Instituto Superior Técnico, Portugal |
Others
| Category Host institution |
Employer | |
|---|---|---|
| 2022/09/01 - Current | Lab Manager | Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal |
| 2019/07 - 2019/09 | Machine Learning Intern | Jungle AI, Portugal |
| 2018/12 - 2019/07 | Software Engineer and Cloud Manager | Banco da Saúde - Associação Cuidar Solidário, Portugal |
Projects
Grant
| Designation | Funders | |
|---|---|---|
| 2022/09/01 - 2023/05/31 | RELEvaNT
PTDC/CCI-COM/5060/2021 - BI| 2022/309
Research Fellow
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal
|
Fundação para a Ciência e a Tecnologia |
Outputs
Publications
| Book chapter |
|
| Thesis / Dissertation |
|
Activities
Consulting
| Activity description | Institution / Organization | |
|---|---|---|
| 2020/06 - 2021/07 | Helped and join some discussions with the team at the beginning of the startup on some AI models and tools to build an anomaly detection system for cloud systems. | Detech.ai, Portugal |
Distinctions
Award
| 2020 | Winner of the Category Sustainable Cities by Ciência Viva
Ciência Viva, Portugal
Universidade de Lisboa Instituto Superior Técnico, Portugal |
| 2017 | Winner of the Best app by students - Google Developer Challenge
Google Inc, United States
|