cv
My current CV
Basics
| Name | Martin Carrasco |
| Label | Computer Scientist |
| m.carrasco.castaneda@student.vu.nl | |
| Url | https://martin-carrasco.github.io/ |
| Summary | I am a research assistant at the Computational Linguistics and Text Mining Lab (CLTL) at VU Amsterdam. My current research is focused in exploring extractive summarization techniques by looking at the topological properties of the embedding space of text. |
Work
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2023.09 - 2024.09 Research Assistant
Computational Linguistics and Text Mining Lab (CLTL) @ VU Amsterdam
Research in extractive summarization by exploring the topological properties of the embedding space of text.
- TDA
- NLP
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2022.01 - 2023.01 Backend Developer
Airnguru Inc.,
In charge of developing the backend of the Airnguru platform, a platform that helps airlines optimize their revenue by providing them with a tool that helps them predict the demand of their flights.
- Python
- FastAPI
- AWS
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2019.03 - 2023.03 Research Assistant
Computing Systems Research Group @ UTEC
Focused on computer architecture and operating systems.Produced one paper related to photonics
- Computer Architecture
- Photonics
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2019.01 - 2020.12 Teaching Assistant
Universidad de Ingenieria y Tecnologia
Teaching assistant for the course Operating Systems, in charge of helping students with their assignments and exams.
- Operating Systems
- C/C++
Volunteer
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2020.03 - 2020.03 Lima, Peru
Presenter
Open Day @ UTEC
Presentation of an Arts and Technology project related to Shipibo-Conibo imagery “Convirtiendo Imágenes a Sonidos”
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2019.03 - 2019.12 Lima, Peru
Treasurer
IEEE - Computer Society @ UTEC
Founding member. Gave workshops on data structures used by git, statistics and arranged talks / paper reviews
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2019.03 - 2021.12 Lima, Peru
Member
Competitive Programming Club (CPC) @ UTEC
Daily training for ICPC competitions and IEEE Extreme Programming Competition. Participated in the ACM ICPC South America Regionals in 2019 and 2020.
Education
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2024.01 - 2024.01 Amsterdam, Netherlands
Master's in Science
Universiteit van Amsterdam, Amsterdam, Netherlands
Artificial Intelligence
- Deep Learning 2
-
2023.01 - 2025.01 Amsterdam, Netherlands
Master's in Science
Vrije Universiteit Amsterdam, Amsterdam, Netherlands
Artificial Intelligence
- Deep Learning 1
- Natural Language Processing
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2017.01 - 2022.01 Lima, Peru
Bachelor's in Science
Universidad de Ingenieria y Tecnologia, Lima, Peru
Computer Science
- Artificial Intelligence
- Analysis and Design of Algorithms
- Advanced Data Structures
- Comptetitive Programming
Awards
- 2024.07.24
Winner in the TDL Challenge at ICML 2024 - Great Contributor
TAGDS & PyT-Team at GRaM Workshop in ICML 2024
Winner in the Topological Deep Learning Challenge at the International Conference on Machine Learning 2024. Awarded for being a great contributor to the challenge.
- 2024.07.22
Grant to attend ICML 2024
University of Amsterdam
500 EUR grant to attend the International Conference on Machine Learning 2024 to present a poster
- 2019.11.01
IEEE Extreme Programming Competition - Top 100 team
IEEE
Award for qualifying withing the top 100 teams in the IEEE Extreme Programming Competition.
Certificates
| Spring School on the introduction on numerical modelling of differential equations | ||
| Universidad Agragria La Molina | 2019-10-01 |
Publications
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2024.06.11 Inter-node Message Passing through Optical Reconfigurable Memory Channel
IEEE Access
With advancements in computing interconnection and memory, new opportunities have emerged. We propose a novel inter-node architecture and protocol called Flexible Memory Units (FMU) that uses optically disaggregated memory.
Skills
| Mathematics | |
| Calculus | |
| Analysis | |
| Discrete Mathematics | |
| Probability | |
| Statistics |
| Machine Learning | |
| Deep Learning | |
| Natural Language Processing | |
| Geometric Deep Learning | |
| Topological Deep Learning |
Languages
| Spanish | |
| Native speaker |
| English | |
| C1 |
Interests
| Machine Learning | |
| Topological Deep Learning | |
| Geometric Deep Learning | |
| Natural Laguage Processing | |
| Topological Data Analysis |
References
| XXX | |
| Supervisor |
Projects
- 2024.06 - 2024.07
Implementation of different topological lifting techniques
Set of submissions for a competition on topological deep learning techniques
- Deep Learning
- Topological Deep Learning