Summary
Alejandro Valencia is a Senior Data Scientist specializing in logistics with a physics background and five years of hands-on experience building and deploying ML and DL solutions in industry. He has shipped production convolutional neural networks and NLP models, automated inventory-search processes for retail logistics, and developed APIs and distributable Python packages to operationalize analytics. Comfortable across Python, Julia, JS and SQL, he blends statistical rigor from academic research with practical engineering—refactoring prototypes into scalable services using TensorFlow, PyTorch, FastAPI and more. As co-founder of a quantum computing research group he translates emerging quantum concepts to non-specialist audiences and explores industrial applications of quantum algorithms. He’s equally drawn to low-level simulation work and high-level product impact, pairing Monte Carlo and stochastic simulation experience with real-world model deployment. Based in Mexico City, he’s a lifelong learner who pairs a physicist’s curiosity with a poet’s penchant for communicating complex ideas clearly.
5 years of coding experience
5 years of employment as a software developer
Universidad Nacional Autónoma de México (UNAM)
Licenciatura en Física, Especialidad Física teórica, biofísica, estadística y matemáticas aplicadas, Licenciatura en Física, Especialidad Física teórica, biofísica, estadística y matemáticas aplicadas at Universidad Autónoma del Estado de México
English, French, lenguas nahuatl, Spanish, German