About

I am currently Chief Technology Officer at Primeradiant, a company specialized in digital solutions for portfolio management using cutting-edge technology. Formerly Senior Data Scientist at Valeo. Ph.D. in Artificial Intelligence Applied to Robotics at Sorbonne Université (Formerly Pierre et Marie Curie). Mechatronics Engineering degree from UANL.

Current Interests

• Mathematical Optimization (Particularly Convex Optimization)
• Learning Algorihtms (Supervised, Non supervised, Reinforcement Learning, Bayesian, …)
• Approximation algorithms
• Quantum Computation and Quantum Information
• Recreational Mathematics (Number theory, Abstract Algebra, Complex Analysis, …)
• Theorem Prover Programming Languages (LEAN)

Past and sometimes recurring Interests

• Robotic Navigation Stack
• Human Robot Interaction
• Human Behavior Prediction (for navigation)
• Computational Graph theory
• Parallel Computing
• Desing Rigging for Inverse Kinematics
• Electronics (Integrated circuits, microcontrollers, …)
• Human Factors

Technology

In order to do interesting practical things. I enumerate some of the technologies that I use or have heavily used at least at some point.

• python (numpy, matplotlib, pandas, cvxpy, sympy, scipy, scikit-learn, tensorflow, spark, langchain, numba, joblib, opencv, pymc, qiskit, ….)
• C++ (templates, boost, boostgraph, openmp, opencv, …)
• Docker, Docker Swarm (compose), Kubernetes
• Robot Operating System (ROS) (protocols, visualizers and physics simulator)
• DataBases (MySQL, PostgreSQL, GIS, Mongo, ….)
• Networking
• Communication Protocols/Services (publisher/subscriber, async server, queues, gRPC, …)
• Web (Nuxt/Vue.js, Node, Golang)
• Cloud Infrastructure (GCloud, AWS)
• CI/CD
• bash