Cesar Diaz, PhD in Computer Science, Head of AI/ML, Head of Data Science
C1 (Advanced) English
Expert (10+ years)
Barcelona,
Spain
UTC+01:00
Summary
With a Ph.D. in Computer Science and a comprehensive background in Electrical and Electronics Engineering, this candidate has over two decades of adeptness in AI, cloud computing, and big data analytics. The engineer is skilled in strategic project management, with a strong focus on the application of machine learning pipelines and cloud infrastructure development. Technical proficiencies include expertise in NLP, data analysis, IoT, and using advanced cloud platforms like AWS, Google Cloud, and Microsoft Azure. The candidate's teaching experience and substantial contributions to industry publications underscore a balanced blend of practical and theoretical knowledge. The engineer's prior roles demonstrate significant leadership in shaping AI strategies and guiding data-driven innovations.
Main Skills
Project Management
Data Analysis
GCE
Programming Languages
.NET Platform
Data Analysis and Visualization Technologies
Databases & Management Systems / ORM
Cloud Platforms, Services & Computing
Azure Cloud Services
Google Cloud Platform
Virtualization, Containers and Orchestration
Message/Queue/Task Brokers
Project Management & Administration
Soft Skills
Other Technical Skills
Work Experience
Head of AI/ML, Enhancing eSports Players Performance with AI
Duration: January 2024 - PresentSummary: At OMASHU, led the AI/ML charge by leveraging Big Data to enhance the performance and well-being of eSports players.
Responsibilities: Designing and executing Machine Learning pipelines, building the AI infrastructure, leading the data science team.
Technologies: AI, Machine Learning, Big Data
Lead Data Science/AI Instructor, Instructing Kafka and Snowflake Courses
Duration: May 2024 - PresentSummary: Lead instructor of Kafka and Snowflake courses.
Responsibilities: Design, implementation, and execution of courses.
Technologies: Kafka, Snowflake
Lead Data Science/AI Instructor, Instructor of Data Mining and AI Courses
Duration: March 2024 - January 2025Summary: Lead instructor specializing in Data Mining courses which included several modules.
Responsibilities: Design, implementation, and execution of Data mining courses.
Technologies: NLP, RS, SQL, Data warehouse, NoSQL, ML, DM
Head of Data Science & AI, AI Initiatives and Marvutcare Project
Duration: May 2023 - November 2023Summary: Oversaw all AI initiatives for Marvut Technologies, particularly the Marvutcare project.
Responsibilities: Led the development and implementation of the GranIA product, partnered on data management and analytics projects.
Technologies: AI, Machine Learning
Data Analytics and AI Team Lead, Data Management Consultant
Duration: April 2023 - July 2023Summary: Data Management consulting for USAID in analytics for the governmental sector.
Responsibilities: Lead software development and data analytics solutions for auditing public contracts.
Technologies: Data Analytics
Docente Ocasional, Teaching Analog Electronics Laboratory
Duration: January 2023 - July 2023Summary: Taught analog electronics laboratory for electrical and electronic engineering students.
Responsibilities: Instruction and teaching in analog electronics.
Technologies: Analog Electronics
Data Analytics and AI Team Lead, Data Applications on the Azure Platform
Duration: January 2022 - December 2022Summary: Directed major AI and data analytics projects, including Distributed Systems and Smart Systems.
Responsibilities: Data-driven tests, courses and research projects leadership.
Technologies: Azure, Big Data, AI
Scientific Collaborator, Master's Projects Supervision in Visual Analytics and Big Data
Duration: September 2016 - April 2022Summary: Direction of final master's projects in Visual Analytics and Big Data Master Program.
Responsibilities: Supervised and advised final projects for masters students.
Technologies: Visual Analytics, Big Data
Big Data Architect, Big Data Architect Role
Duration: August 2021 - January 2022Summary: Developed and designed Big Data architectures along with creating career paths for Data Analytics professionals.
Responsibilities: Developing IoT Event Hub solution, Data Analytics project support, creation and evaluation of Big Data solutions.
Technologies: IoT, Kafka, Airflow, GCP, Big Data
Education
- Universitat de Barcelona
Doctor equivalency, Matemáticas e informática
January 2023 - June 2023 - University of Luxembourg
Doctor of Philosophy (PhD), Computer Science
2010 - 2014 - Universidad de Los Andes
Posdoctorado, Cloud Computing
2014 - 2016 - Pontificia Universidad Javeriana
Master's degree, Electrical, Electronics and Communications Engineering
2006 - 2009 - Universidad de Los Andes
Bachelor of Engineering (B.Eng.), Electrical and Electronics Engineering
1994 - 2000
Certification
- Google Cloud Fundamentals: Core Infrastructure
- AWS Lambda Foundations
- Architecting with Google Kubernetes Engine: Foundations
- BUILD 2023 LLM Bootcamp Badge
- Catala presencial Basic 2