Working on applied AI systems across data, backend, machine learning, and agentic engineering workflows.

• Contributing to AI/ML systems, backend infrastructure, data pipelines, and intelligence services.
• Applying strong analytical and systems-thinking skills from computational neuroscience to practical engineering problems.
• Operating in a high-autonomy environment where architecture, implementation quality, and end-to-end ownership matter.

Founded and built Octidy, a Firebase-first Android app for coordinating household chores through bidding, assignment, and progress tracking.

• Built invite-code households, task creation, bidding deadlines, automatic assignment, tie handling, recurring chores, calendar views, and progress statistics.
• Implemented Kotlin, Jetpack Compose, Navigation Compose, Hilt, Coroutines/Flow, Firebase Auth, Firestore, offline persistence, and WorkManager.
• Owned product definition, architecture, UI/UX, debugging, documentation, production packaging, and Play Console testing.

Thesis: A workflow for developing biochemical pathway models using ordinary differential equations.

• Built Subcellular Workflow, a modular FAIR-compliant MATLAB framework for ODE-based pathway modeling with simulation, analysis, and parameterization capabilities.
• Implemented parameter estimation, local/global sensitivity analysis, and profile likelihood analysis.
• Validated on LIRMO, LIREM, TM-M, and G-PIPK models spanning ligand-receptor interactions, effector responses, CaMKII autophosphorylation dynamics, and basal ganglia signaling.
• Published in Neuroinformatics.

Conducted research on porphyrin nanomaterials via ionic self-assembly.

• Performed synthesis, purification, and characterization of materials.
• Analyzed IR spectrograms for species concentrations.
• Supervised two undergraduate students.
• Published in Tetrahedron.

Completed doctoral coursework with a strong quantitative and computational focus through the GABBA doctoral program, including biostatistics, systems and synthetic bioinformatics, neurosciences, cellular and developmental biology, molecular microbiology and parasitology, and new therapies and technologies.

Thesis: A workflow for developing biochemical pathway models using ordinary differential equations.

• Designed an integrated ODE modeling workflow for model initialization, simulation, parameter estimation, sensitivity analysis, and profile likelihood analysis.
• Validated the framework across models of increasing complexity, from simple ligand-receptor systems to G-PIPK, a striatal signaling model integrating glutamatergic and cholinergic inputs.
• Coordinated collaborative development across three institutions using Git/GitHub and delivered end-user documentation.
• Published in Neuroinformatics and funded by Fundação para a Ciência e Tecnologia (FCT).

Grade: 16/20. Specialized in computational and analytical approaches to biochemistry, with coursework in computational biochemistry, bioinformatics, instrumental analysis, and bioanalytical chemistry.

Thesis: Exploring the Boundaries of Porphyrin Materials Synthesis by Ionic Self-Assembly.

• Performed synthesis, purification, and spectroscopic characterization of porphyrin nanostructures.
• Quantified spectroscopic data to determine species concentrations.
• Supervised two undergraduate students during extracurricular research internships.
• Research contributed to a publication in Tetrahedron.

Grade: 16/20. Completed a three-year program combining biological sciences with quantitative and analytical methods, including coursework in mathematics, statistical methods, and mathematical models.

Completed a research internship at the Institute for Molecular and Cell Biology (i3S) on protein depletion and cell cycle regulation in Drosophila melanogaster wing disc development.