About Me
PhD researcher working on scalable runtime systems for heterogeneous computing across CPUs, GPUs, and emerging accelerators.
- Distributed systems and heterogeneous HPC
- Runtime systems and scheduling
- Multi-GPU and large-scale computing
- Hybrid computing models (quantum–classical)
Experience
HPC & AI Software Architect Intern
2026
NVIDIA
- Analyzed communication patterns of Mixture-of-Experts (MoE) models in large-scale multi-GPU systems
- Characterized inter-GPU traffic and optimized distributed execution using RDMA, NCCL, and low-level profiling
PhD Researcher
2023 – Present
Barcelona Supercomputing Center
- Designing distributed runtime systems for heterogeneous HPC and quantum–HPC integration
- Scaling hybrid workloads across CPUs, GPUs, and QPU for emerging applications
Openlab Student
2025
CERN
- Built Kubernetes-based frameworks for orchestrating distributed and hybrid quantum-HPC workflows
- Integrated heterogeneous execution pipelines across GPUs and cloud based quantum accelerators
Education
PhD in Computer Science
2025 – Present
Universitat Politècnica de Catalunya (UPC)
INPhINIT Fellowship – La Caixa Foundation
Research: Heterogeneous HPC Systems & Distributed Runtime Models
Supervisor: Rosa M. Badia (BSC)
MSc in Computer Science
2023 – 2025
Georgia Institute of Technology
Specialization: Machine Learning & Computing Systems
Courses: HPC Architecture, Parallel Algorithms, Deep Learning
MSc in Quantum Science & Technology
2024 – 2025
University of Barcelona
Specialization: Quantum Computing Software & Algorithms
BSc in Computer Science
2020 – 2023
University of Delaware
Cum Laude (Top 8%)
Data Science concentration • Minors in Mathematics & Cognitive Science
Projects
Publications
Awards
La Caixa • 2025
ACM SIGHPC Travel Grant
SC'25
Catalonia Quantum Academy
Master Scholarship
