About Me

I’m a passionate Computer Science Engineer from Chile, currently pursuing my Master’s degree at Federico Santa Maria University. With a keen interest in Machine Learning and Data Science, I’ve had the privilege to work on several innovative projects, turning ideas into reality. I believe in the power of technology to transform and improve the lives of people around the world.

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Education

• M.Sc in Computer Science
  Technical University Federico Santa María
  01/2023 - Present, Valparaíso, Chile.

• Engineer’s Degree, Computer Science
  Technical University Federico Santa María
  01/2022 - 12/2023, Valparaíso, Chile.

• B.S in Computer Science & Engineering
  Technical University Federico Santa María
  01/2018 - 12/2021, Valparaíso, Chile.

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Work Experience

• Machine Learning Engineer, NotCo.
  01/2024 - Present, Santiago, Chile.

• Data Scientist, Digevo.
  03/2023 - 12/2023, Santiago, Chile.
  • Model and predict customer churn.
  • Conduct analyses and presentations on product usability and performance.
  • Develop and maintain business cases for the company’s products.
  • Improve Ads Recommendation System for Telecommunications Products.
• AI Engineer, Digevo Ventures.
  07/2022 - 12/2022, Santiago, Chile.
  • Work with Reinforcement Learning to develop a Deep Learning model that assists startups, recommending optimal business actions according to their status.
• Data Scientist, MyFuture-AI.
  07/2021 - 12/2021, Santiago, Chile.
  • Work with Computer Vision to develop an object detection model to recognize recyclable materials.
  • Develop a NER model based on Transformers to extract relevant information from invoices.

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Teaching Experience

• Assistant Teacher INF-395, Deep Learning, Technical University Federico Santa María
  08/2023 - 12/2023 Valparaiso, Chile.
  • In charge of developing the practical evaluations for the Deep Learning course, Teaching Keras, Tensorflow and Pytorch in tasks such as Classification, Regression, Object Detection, Semantic Segmentation, PINNs, Time Series and NLP.

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Research

• BATS: Bridging Acoustic Transparency in Speech (12/2023)
  Research on Speech to Text Explainable AI Methods.

• Recommender System Focused on Bars Using Machine Learning Techniques (08/2023)
  Thesis work with Maximum Distinction, to graduate as a Computer Science Engineer, on Neural Recommendation Systems.

• Quantum Classification and Quantum Key Distribution (08/2023)
  Research and application on Quantum Machine Learning Classification and Quantum Key Distribution.

• The Future of Computing: A Survey of Quantum Computing, Quantum Machine Learning, and Quantum Cryptography (08/2023)
  Survey on Quantum Computing, in the topics of Machine learning and Cryptography.

• Decoupling Food Segmentation (08/2022)
  Research on semantic segmentation in food images.

• Minimum Order Frequency Assignment Problem (12/2021)
  Research on metaheuristics to solve the Minimum Order Frequency Assignment Problem.

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Personal Projects

• Cropy Recommender System (07/2022)
  Recommender System for Cropy Using Tensorflow.

• Interactive Black Hole Simulation (07/2022)
  A black hole simulation using CUDA.

• League AI Matches Predictor (09/2021)
  Deep Learning Model to predict the win percentage of professional e-sports team matches in League Of Legends with Keras.

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Certificates

• Microsoft Certified: Azure AI Fundamentals (09/2023)

• Agile Explorer, IBM (07/2022)

• Structuring Machine Learning Projects (01/2021)

• Improving Deep Neural Networks: Hyperparameter tuning, Regularization, and Optimization (08/2020)

• Neural Networks and Deep Learning (07/2020)

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Achievements and Competitions

• HackSciML
  Second place at HackSciML, a Hackathon on Scientific Machine Learning Competition, Hosted by CENIA, PUC, IHealth and IMC.

• Hack The Challenge 2023
  Second place at HackTheChallenge 2023, a Hackathon on Machine Learning and Cybersecurity competition hosted by NTT Data.

• Human-Centered AI & Data Visualization
  AI Workshop Hosted by MIT, MIT-Chile and PUC.

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Languages

• Spanish: Native.
• English: Professional Working Proficiency (TOEIC Score: 790).

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Skills

• Python
• Pytorch/Tensorflow/Keras
• SQL
• CUDA
• Git
• Docker
• Cloud: AWS/Azure
• AI/Machine Learning/Deep Learning
• Quantum Computing
• Data Science
• Engineering

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