Summary
Albert Camacho is a data scientist and graduate research assistant at Mila with 11 years of experience building AI and ML solutions across academia and industry. He blends deep technical skills in Python, TensorFlow/Keras, and graph representation learning with practical deployment experience in cloud and production settings, including computer vision and NLP systems. His work spans research-driven projects—PhD studies at Concordia and an MS from McGill—to applied consulting engagements such as designing a catering knowledge base under Mitacs and architecting chatbots for legal tech. A seasoned educator and presenter, he has taught core CS courses at UNAM and spoken at meetups and conferences, bringing clarity to complex topics. Fluent in cross-disciplinary collaborations, he pairs theoretical foundations (HMMs, logic) with hands-on engineering to move models from prototype to real-world impact.
11 years of coding experience
3 years of employment as a software developer
2015 Jelinek Summer Workshop: Summer School (JSALT 2015), HLT, ML, NLP, Brain Dynamics..., 2015 Jelinek Summer Workshop: Summer School (JSALT 2015), HLT, ML, NLP, Brain Dynamics... at University of Washington
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Concordia University
Universidad Nacional Autónoma de México (UNAM)
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at McGill University
High School, High School, High School, High School at Instituto Tecnológico y de Estudios Superiores de Monterrey / ITESM
English, Spanish, French