Jorge Castanon
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Sharing hands-on stories from the AI frontier | Simplifying complexity visually
I’ve spent over a decade helping organizations make AI real for business — not just proofs of concept, but production systems that deliver measurable value. Today, I lead IBM’s AI Client Engineering team across the Americas, where we design and deploy agentic AI solutions powered by watsonx and multi-agent orchestration to solve challenges in IT, HR, finance, and beyond. My technical foundation comes from a Ph.D. in Computational and Applied Mathematics from Rice University, where I built machine learning and optimization models for image processing and dimensionality reduction. On LinkedIn, I share hands-on stories from the field: lessons learned, behind-the-scenes demos, and practical ways teams are adopting agentic AI responsibly and at scale. 🚀 Follow me if you’re curious about what happens when AI moves from the lab to the enterprise — and how to make it succeed: www.linkedin.com/comm/mynetwork/discovery-see-all?usecase=PEOPLE_FOLLOWS&followMember=jorgecasta
Rice University
Master of Arts (M.A.), Computational and Applied Mathematics
January 1, 2009 – January 1, 2012
Rice University
Doctor of Philosophy (Ph.D.), Computational and Applied Mathematics
January 1, 2009 – January 1, 2014
Instituto Tecnológico Autónomo de México
Bachelor of Applied Science (B.A.Sc.), Applied Mathematics
January 1, 2003 – January 1, 2007
IBM
Principal AI Engineer - Gen AI Emerging Technologies
July 1, 2024 – Present
IBM
Principal AI Engineer
July 1, 2022 – September 1, 2024
IBM
Principal Data Scientist & Manager
December 1, 2021 – July 1, 2022
IBM
Sr Data Scientist and Manager @ Data Science Elite Team
April 1, 2020 – December 1, 2021
Towards Data Science
Contributing Writer
January 1, 2018 – Present
IBM
Sr Data Scientist @ IBM Machine Learning Hub
March 1, 2017 – March 1, 2020
IBM
Advisory Data Scientist @ Watson Data Platform
August 1, 2016 – January 1, 2017
IBM
Staff Data Scientist
December 1, 2014 – July 1, 2016
Machine Learning Talks
Invited Talks and Presentations
December 1, 2014 – January 1, 2015
Speaker
Argonne National Laboratory
Givens Associate
May 1, 2010 – August 1, 2010
Greater Chicago Area
Rice University
Ph.D. in Computational and Applied Mathematics
August 1, 2009 – November 1, 2014
Greater Houston
Santander Bank
Quatitative Scientist for Trading on Hedge Funds
January 1, 2008 – July 1, 2009
Mexico City, Mexico
Data Science Profession Certification - Level 3 Thought Leader
IBM
June 24, 2026 – Present
Deep Learning Specialization
Coursera
June 24, 2026 – Present
Big Data - Spark Fundamentals
IBM
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Tensorflow
MLconf
June 24, 2026 – Present
Sequence Models
Coursera
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
IBM Watson Data Platform Foundations
IBM
June 24, 2026 – Present
IBM Technology Excellence
IBM
June 24, 2026 – Present
Distinguished Data Scientist
The Open Group
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's long tenure at IBM, progressing through various senior data science and AI engineering roles, demonstrates a strong alignment with large enterprise environments. Their involvement in sharing expertise across the Americas and engaging with product teams for roadmap design indicates a proactive and collaborative approach. The diverse project experience across multiple industries and continuous learning through certifications and writing suggest a strong cultural fit for innovation and continuous improvement.
Soft Skills & Operational Fit
The candidate's extensive experience in client-facing roles, leading teams, and presenting at conferences indicates strong communication, leadership, and problem-solving skills. Their role as a contributing writer further highlights their ability to articulate complex ideas clearly. The focus on agile customer projects and enabling technical communities suggests a collaborative and adaptable operational fit.