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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
iCODE-Server
March 16, 2025 – March 23, 2025
Server for the iCODE project. It receive frames and, by executing a model, sends back to the visor the prediction for the depicted scene.
View ProjectiCODE
March 16, 2025 – March 23, 2025
Unity app for Meta Quest 3 that streams video to a server and expects back a prediction of the action happening in the scene
View ProjectNotThatIris-Detector
October 8, 2024 – July 1, 2025
Iris matching biometric system from mobile photography. Super-resolution solutions are applied to increase the performance
View ProjectQuizCraft-AI
September 4, 2024 – May 20, 2025
RAG System that, given one or multiple PDF(s) (slide or simple text), generate a Quiz to test yourself to the arguments of the PDF(s)
View ProjectSamMask-R-CNN
May 31, 2024 – September 18, 2024
Istance segmentation on the OOD-COCO Dataset with Mask R-CNN. The labels masks are obtained from the output of SAM with the original bounding box as input.
View ProjectPotholeSegmentation
February 16, 2024 – January 2, 2025
Semantic segmentation of images depicting road potholes using Mask R-CNN.
View ProjectPersonalNetflixRaccomandationSystem
June 29, 2023 – January 2, 2025
Recommendation system for products available on the Netflix streaming platform based on user content and preferences, independent of advertising biases.
View ProjectOilPriceAnalyzer
June 8, 2023 – January 2, 2025
Software pipeline that aims to visualize and predict the price of oil, based on the history of the station's price.
View ProjectParallel_Floyd-Warshall
March 18, 2023 – January 2, 2025
Implementation of a parallelized solution of the Floyd-Warshall algorithm using CUDA technology for execution on GPU.
View ProjectCultural Fit Analysis
The candidate demonstrates a strong passion for Data Science and Machine Learning through numerous personal projects. However, the lack of professional experience or team-based projects makes it difficult to assess cultural fit in a collaborative work environment. The projects are diverse within the ML/AI domain, but there is no information on how the candidate interacts within a team or handles project constraints.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are clear but do not provide insight into collaboration, problem-solving approaches, or communication styles.