Computer science enthusiast passionate about logic and problem-solving through technology.
I am currently a Software Engineering intern in the Platform team (Engineering Experience squad) at Sonar. I am also pursuing my Masters of Science in Computer Science at EPFL, specializing in Foundations of Computing. Previously, I was an undergraduate research fellow at INESC ID and summer research intern at INESC TEC.
Some technologies I have worked with:
Outside of work, I enjoy playing chess and indie video games, reading fantasy and sci-fi books and learning things I didn't know before I didn't know.
Software Engineering Intern
Undergraduate Research Fellow
Summer Research Intern
Formally verified a DPLL-based SAT solving framework in Rocq, including certified preprocessing optimizations and OCaml extraction, and benchmarked their impact on solving performance.
Implemented row-oriented, columnar, and PAX data layouts with tuple-, column-, and vector-at-a-time execution models in Scala, exploring database storage and execution techniques.
Built Apache Spark data-processing and recommendation pipelines in Scala, with incremental aggregation, collaborative filtering with ALS, and approximate nearest-neighbor retrieval using LSH and HNSW.
Evaluated federated language-model training across 120 experiments, studying the effects of data heterogeneity, aggregation strategies, local optimizers, and FedProx regularization across four languages.
Implemented a configurable neural network from scratch for MNIST digit classification, allowing hyperparameter and architecture experimentation.
Implemented a room-based distributed chat server handling causality, race conditions and message ordering, exploring concurrency control and networked system design.
Solved N² Queens problem on a 3D board using Monte Carlo Markov Chains and simulated annealing, optimizing computation with matrix-based transformations.
Designed and trained regression models on a Kaggle dataset using Decision Trees, K-Nearest Neighbors, Support Vector Machines, Neural Networks and Random Forest.
Developed a compiler for a subset of Java from lexing to backend code generation, including optimizations, static analysis and different intermediate representations.
Developed a solver for Google Hash Code 2017 challenge using optimization metaheuristics (Hill Climbing, Simulated Annealing, Tabu Search, Genetic Algorithms).
Vim-inspired text editor with low-level device drivers: timer, mouse, keyboard, graphics card, RTC and serial port for collaboration mode. Made for Minix in C.