César Martínez Spessot

● Responsible for AI Infrastructure and Engineering execution supporting Microsoft Research’s next-generation AI models, building scalable, efficient, and unified platforms for large-scale training and inference. ● Define the strategic direction for AI workload orchestration, streamlining research operations and maximizing resource utilization across multi-tenant, heterogeneous compute environments. ● Drive large-scale AI workload optimization and telemetry-driven observability, spanning NVIDIA, AMD, and next-generation AI accelerators, to improve performance, reliability, and cost efficiency. ● Oversee supplier partnerships and ecosystem integration, incorporating emerging hardware and software advancements into Microsoft Research’s AI infrastructure stack. ● Establish infrastructure unification, workload validation, and endpoint monitoring as core pillars for reliable, repeatable, and cost-efficient AI training and inference at scale.

● Led a global, deeply technical team with a strong customer-centric vision and a recognized start-up mindset, generating over $500M in annual revenue through innovative AI solutions. Drove product strategy, roadmap definition, proofs of concept, pilots, go-to-market execution, and large-scale deployments. ● Advised C-level executives across 50+ Fortune 500 companies as a Strategic Technical Leader, driving Edge and Cloud Infrastructure deployments to achieve strategic alignment and innovation. ● Built and led an inclusive, growth-oriented engineering organization that pioneered “zero-to-one” services and products, resulting in over 200 patents advancing the industry. ● Led cross-industry collaborations with peer executive leaders across Cloud, Distributed Cloud/Edge, and IoT, focusing on infrastructure, platform, and AI services. These efforts drove a 40% increase in industry-wide adoption of new technologies and generated over $1.5B in combined value. ● Engineered and led the deployment of over 100 AI models, infrastructures, and solutions, empowering multiple cross-functional teams. Solutions were implemented across Google Cloud, Microsoft Azure, and AWS, integrating advanced cloud-native AI services and significantly increasing partner profitability.

● Led a global organization of over 100 expert-level engineers across the USA, India, Malaysia, Argentina, Spain, and Ukraine, renowned for their advanced technical proficiency and innovative solutions ● Led Product Management, Engineering and Solutions Delivery, achieving a 250% growth in customer base and adding $350 million in annual revenue ● Served as Strategic Technical Advisor for Edge and Cloud Infrastructure deployments for Fortune 100 companies, directly reporting to C-level executives ● Delivered over 300 IoT Market-Ready Solutions through our hardware portfolio, driving market transformation and reshaping the ecosystem ● Designed, implemented, and delivered over 60 AI solutions across diverse verticals, including Smart City, Retail, Smart Home, Building Management Systems, Logistics, Autonomous Vehicles, and Manufacturing ● Led technical coordination within the Cloud and IoT Ecosystem, managing hardware and software integration across key suppliers (Bosch, Dell, HP, Lenovo, Microsoft, Google, VMware, Docker, Red Hat, AWS, Indra) to meet customer platform requirements and ensure seamless ecosystem alignments

● Managed a $100 million budget to develop tools for Ultrabook and Laptop platforms, creating resources to simplify development on new platforms and ensure hardware quality through advanced validation tools ● Led the Ultrabook Technical Program, transforming the personal computer market with over 30 million units sold globally by 2015, capturing nearly 43% of the notebook market ● Designed the Android NDK x86 software architecture conversion process, enabling scalable architecture conversion across over 400 applications ● Led technical coordination with Intel’s OEM, ODM, SI, and ISV partners, establishing architecture standards and tools for touch and sensor integration on Mobile and Ultrabook platforms, ensuring seamless alignment across hardware suppliers, customers, and software partners ● Guided the integration of IoT and AI into curricula at over 20 leading U.S. universities by supplying hardware, technical training, and developer resources, fostering advanced technical skills in emerging technologies

● Founded the Intel Argentina Development Center, establishing a presence in Argentina and spearheading its growth ● Recruited and developed a high-performing organization of over 400 engineers dedicated to delivering Cloud and High-Performance Computing products and services ● Drove and led the Intel Cluster Tools program, delivering six major releases of tools such as the Intel® MPI Library, Trace Analyzer and Collector, Math Kernel Library (MKL), Integrated Performance Primitives (IPP), Data Analytics Acceleration Library (DAAL), VTune™ Profiler, Advisor, Inspector, Cluster Checker, and MPI Benchmarks, optimizing high-performance computing and parallel applications across the industry ● Developed and established the first supercomputing lab in Latin America with 250 nodes, making a significant impact on the industry and setting a benchmark in high-performance computing.

● Awarded Microsoft Research Recognition for outstanding contributions and breakthrough results in advanced system architecture ● Redesigned a critical component of Microsoft SQL Server Compact on the innovative Singularity OS architecture, achieving enhanced performance and system resilience. ● Performed an in-depth architectural analysis of Microsoft SQL CE, working directly with the Product Managers and Principal Engineers.

● Established and staffed the primary software research lab at a leading Argentine university, managing a team of over 30 students and professors. ● Led industry research projects for Microsoft Corporation, with direct reporting to teams in Redmond, USA. ● Directed diverse research initiatives in areas including relational and multidimensional databases, deep learning, machine learning, mobile devices, and computer vision.

Geopatagonia is a oil service company established in the Patagonia Argentina, with extensive experience in providing solutions to companies operating in the stages of exploration, drilling, development, production, cementing and well abandonment. I successfully executed a program for Geopatagonia (www.geopatagonia.com.ar) building a solution called Geolog. Geolog is used for Mud Logging (the system creates a detailed record of a borehole), the main component of the system is a software working in x86 and managing a set of Schenider PLCs and sensors to capture the lithology and fluid content of the borehole while drilling.

Architected and planned the business intelligence infrastructure for San Luis state management. The state has a population of more than 400k and converted all their services (heath care, library, permits, grants, utility payment, etc) to a web based services Responsible for direct communication with the NEC and State board about the technical implementation

Designed and implemented customer loyalty algorithms based in Deep Learning Developed a core billing analytic system on Oracle business intelligence infrastructure Developed main transactional scripts based in PL/SQL, Pro*C

Jujuy TV was the first company to broadcast private TV channels through aerial antenna. The scope of the implemented solution was from activation/deactivation of a coder to channel management and billing. The system was done in Clipper, a computer programming language with a basic DBMS that was primarily used to create business software. The architecture of the solution supported a point to point modem connection to a central server for customer and channel management.

Jujuy Plastics was a manufacturer leader in Argentina and developer of several innovations based of plastic resins. The company was one of the first to adopt and promote the packaging recycling life cycle in South America. Development of Point of Sale and Transaction Processing System for custom plastics and fabrication services. The scope of the solution was from requirement engineering, prototype, product development to sales and stock management. The system was developed in dBase III, one of the first and in its day the most successful database management systems for microcomputers.

Executive Certificate in Management and Leadership Executive Certificate in Strategy and Innovation Executive Certificate in Technology and Operations Data Monetization Strategy: Creating Value Through Data Managing Product Platforms: Delivering Variety and Realizing Synergies Machine Learning in Business Supply Chain Strategy and Management Pricing: Using Data to Improve Pricing Performance Negotiation for Executives Accelerating Digital Transformation with Algorithmic Business Thinking Blockchain Technologies: Business Innovation and Application Business Process Design for Strategic Management Maximizing Your Personal Productivity: How to Become an Efficient and Effective Executive Questions Are the Answer: A Breakthrough Approach to Creative Problem Solving, Innovation, and Change Building Game-Changing Organizations: Aligning Purpose, Performance, and People