Big Data Specialist · HPC Engineer · Applied Scientist
Tech executive and problem solver specializing in turning complex research into real-world products. Background across Physics, Math, and Computer Science, building scalable platforms with HPC, Big Data, and AI.

Domain focus: Architecting distributed systems and parallel workflows for high-throughput research and enterprise workloads. Leadership focus: Translating academic research into production systems, roadmaps, and stakeholder value. Expertise focus: Physics-informed AI for trustworthy, explainable, and robust predictions. Strategy focus: Platform architecture with resilient backends, APIs, and data governance.

Applied engineering leadership

PhD Researcher · University of Trieste & OGS (Nov 2023 - Present · Trieste, Italy) — Development of distributed deep learning pipelines for seismic event detection across Italy's national monitoring network. Designed and implemented multi-node GPU training infrastructure. Achieved 94% detection accuracy on production workloads. Collaborating with seismologists.

Software Developer II · ORACLE (Jul 2020 - Aug 2022 · Guadalajara, Mexico) — Architected and deployed a production backend for automated analytics through a customer-facing API. Engineered automated patch recommendation workflows that reduced diagnostic latency and improved system reliability. Mentored junior developers and established code review practices.

Internship, Modeling & Numerical Simulation in Additive Manufacturing · HP Labs (Jun 2019 - Jun 2020 · Guadalajara, Mexico) — Developed thermal-process simulations for Multi Jet Fusion 3D printing technology. Validated computational models against experimental materials-science benchmarks.

Research Assistant · Universidad de Guadalajara (Jan 2018 - May 2019 · Guadalajara, Mexico) — Conducted computational physics research on complex systems and statistical mechanics. Developed Monte Carlo simulations for phase transition analysis in social dynamics models.

PhD & HPC specialization

PhD in Applied Data Science & Artificial Intelligence (Nov 2023 - Present) · University of Trieste (UniTS) — Built distributed training/inference pipelines across multi-node GPU clusters (MPI/CUDA) for large seismic datasets; engineered a custom validation framework using bipartite optimization and weighted similarity scoring for high-fidelity event matching.

Master in High Performance Computing (Sep 2023 - Aug 2024) · Scuola Internazionale Superiore di Studi Avanzati (SISSA) — Developed an end-to-end ML pipeline for real-time earthquake detection; architected HPC-optimized workflows with Transformers and CNNs to ingest continuous data streams at scale.

Postgraduate Diploma in Quantitative Life Science (Sep 2022 - Aug 2023) · International Centre for Theoretical Physics (ICTP).

BSc. Physics (Aug 2016 - Dec 2021) · Universidad de Guadalajara (UdeG) — Simulated complex social systems with 1D Ising spin models integrating Kawasaki and Schelling dynamics; quantified critical exponents ($z \u2248 2.48$, $\lambda \u2248 1.15$, $\theta \u2248 0.46$) and optimized simulations for ground-state transitions.

HPC, data, and AI stack

Core Competencies: High Performance Computing (HPC), Big Data & Distributed Systems, Mathematical Modeling & Computational Physics, Physics-Informed AI & Scientific ML, Data Engineering & ETL Pipelines, Backend Architecture & Microservices, MLOps & Model Deployment, Parallel Algorithms & Optimization, API Design & Observability, Research-to-Production Delivery.

Programming & Frameworks: Python (NumPy, SciPy, Pandas, PyTorch, TensorFlow), C/C++ (STL, Eigen), SQL (PostgreSQL, Oracle), JavaScript/TypeScript, Bash scripting. Deep learning: Transformers, CNNs, RNNs, GANs, Physics-Informed Neural Networks.

Infrastructure & DevOps: Linux (RHEL, Ubuntu), Docker, SLURM, Git.

HPC & Parallel Computing: MPI/MPICH, OpenMP, OpenACC, CUDA. Experience on CINECA (Galileo100, Ada Cloud, Leonardo), ICTP Argo cluster, and institutional HPC resources.

Methodologies: Agile/Scrum, Test-Driven Development, Code Review, Technical Documentation, Scientific Writing.

Soft Skills: Cross-functional collaboration, Technical mentorship, Stakeholder communication, Research translation, Problem decomposition, Self-directed learning.

Languages: Spanish (native), English (fluent - C1), Italian (basic - A2), Japanese (conversational), Chinese (basic - A1).

Research-to-production systems

Event Matching & Validation Framework: Novel validation system using Hungarian algorithm-based bipartite optimization with custom weighted similarity metrics (location, magnitude, origin time). Enables rigorous comparison against authoritative catalogs (INGV) with configurable matching thresholds. Open-source contribution supporting reproducible seismology research.

Additive Manufacturing Thermal Simulator: High-fidelity finite element simulation of powder bed fusion processes. Validated against experimental thermal imaging data from HP's Multi Jet Fusion production line.

Social Dynamics Simulation Engine: Monte Carlo framework for studying segregation and opinion dynamics in complex networks. Implemented Ising-based models with Kawasaki-Schelling hybrid dynamics. Characterized critical exponents and phase transitions through finite-size scaling analysis.

Certifications & Awards

Academic Honors:
• ICTP Postgraduate Diploma Programme Fellowship (2022-2023) — Competitive scholarship for advanced studies in quantitative sciences.
• MHPC Scholarship, SISSA (2023-2024) — Merit-based funding for the Master in High Performance Computing.

Professional Certifications:
• HPC Essentials for Scientists and Engineers, CINECA (2023) — Comprehensive training in HPC concepts, parallel programming, and performance optimization.

Ken Tanaka Hernández

kentanaka3@outlook.com · kentanaka3.github.io · linkedin.com/in/kentanaka3 · github.com/kentanaka3
Guadalajara, Mexico