Jorge Jimenez
@jorgejimenez
Experienced Technical Account Manager specializing in HPC and Data Science.
What I'm looking for
I am a seasoned Technical Account Manager with over 20 years of experience in high-performance computing (HPC) and data science. My expertise lies in managing cross-functional teams and delivering solutions for enterprise clients across various industries, including healthcare, manufacturing, and technology. I have a proven track record of ensuring customer satisfaction and retention while optimizing system performance and resource utilization.
Throughout my career, I have successfully monitored and enhanced the performance of clients' HPC systems, achieving a remarkable 99.9% system uptime. I leverage advanced analytics and machine learning to drive strategic decision-making, utilizing tools like Power BI and Tableau to create custom performance dashboards. My commitment to innovation and efficiency has led to significant improvements in decision-making processes and customer relationships.
As a Data Science Project Manager, I have led cross-functional teams in delivering complex data-driven solutions, particularly in the health and pharma sectors. My ability to implement machine learning and AI technologies has accelerated research outcomes and optimized cloud workloads. I am passionate about leveraging my skills to contribute to impactful projects and drive technological advancements.
Experience
Work history, roles, and key accomplishments
Technical Account Manager HPC
Eviden
Jan 2024 - Present (1 year 5 months)
Monitored the performance of clients' HPC systems, proactively addressing issues to ensure 99.9% system uptime. Oversaw high-performance computing (HPC) accounts for leading organizations, ensuring customer satisfaction and retention.
Linux Technical Account Manager HPC
Nasertic
Dec 2018 - Present (6 years 6 months)
Designed and optimized high-performance computing systems for research applications, specializing in machine learning and data-intensive workflows. Leveraged parallelization and high-performance computing (HPC) to optimize complex simulations and computational tasks across diverse fields.
Data Science Project Manager
Nasertic and Helphone
Jan 2017 - Present (8 years 5 months)
Led cross-functional teams in the delivery of complex data science projects, providing full solutions from development to implementation, with a focus on health, pharma, and genetics sectors. Implemented machine learning and data science solutions, utilizing Python libraries such as TensorFlow, PyTorch, scikit-learn, and Pandas.
Head of Infrastructure at Siemens-Gamesa
Helphone S.L
Apr 2011 - Present (14 years 2 months)
Led a team of 20+ infrastructure professionals in the design, implementation, and management of global IT infrastructure. Improved SLA performance by 30%, reducing incident response times and ensuring 99.9% uptime across all critical systems and services.
Head of Support (Level 1)
Azkoyen S.A
Dec 2004 - Present (20 years 6 months)
Led a team of 30+ user support specialists across global operations. Improved SLA performance reducing average response times.
Education
Degrees, certifications, and relevant coursework
Unknown
Bachelor in Data Science and Degree in Business management, Computer Science, Data Science, Business Management
Studied the fundamentals of computer science, data science, and business management. Gained expertise in leveraging advanced analytics, machine learning, and data-driven solutions to drive strategic decision-making.
Unknown
Specific for HPC, High-Performance Computing
Activities and societies: Introduction to heterogeneous memory usage, Workshop on High-Performance data analytics, Introduction to OpenACC/CUDA, Task-based parallelism in scientific computing, HPC Code optimisation workshop, System workshop: Petaflop System Administration Marenostrum 4, System workshop: Petaflop System Administration Marenostrum 5, Introduction to CUDA programming, Short course on HPC-based Computational Bio-Medicine, Programming MareNostrum 4
Completed workshops and courses focused on High-Performance Computing. Topics included heterogeneous memory usage, high-performance data analytics, OpenACC/CUDA, task-based parallelism, and HPC code optimization.
Unknown
Data & IA, Data and Artificial Intelligence
Activities and societies: PowerBI, Tensorflow 2 and Keras Deep learning, Artificial Intelligence Fundamentals (IBM), Machine Learning with Python
Undertook training in data and artificial intelligence. Covered topics such as PowerBI, TensorFlow 2 and Keras for deep learning, and Artificial Intelligence Fundamentals.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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