Career Profile
Machine Learning Engineer with extensive experience in the industry in fields such as autonomous vehicles, video analytics, and manufacturing. Contributor to various Python JAX-related open source projects (Flax, Elegy, Treex), speaker, host of the JAX Global Meetup and the Machine Learning Meetup Medellin.
Experiences
Currently working as a contributor to the Flax Open Source framework for Deep Learning with the Google Brain team.
Developed applications using Machine Learning and Deep Learning to automate tasks throughout the organization such as client sales prediction, demand forecast, photo aesthetics prediction, image clustering, models using GIS data, and more.
Developed Automatic Visual Inspection solutions using Deep Learning techniques for clients in the automotive industry. Developed an internal tool to that enabled training deep learning models with small datasets. Worked on a generative model for images using GANs.
Developed various Deep Learning models for tasks like video classification and event detection in videos using distributed Tensorflow, TPUs, and Dataflow.
Lead Data Scientist and Deep Learning developer for autonomous driving delivery robots. Used Deep Learning techniques like CNNs and RNNs for autonomous control, with technologies such as TensorFlow, ROS, Jupyter, Flask.
Designed the curriculum of various Data Science/ML courses. Investigated technologies such a TensorFlow and OpenCV to run ML algorithms in IoT devices.
Developed a Linux and Windows python application for HR software to measure employee productivity. Cleaned and analyzed large datasets using Spark and Zeppelin. Created a service in Python for Entity extracting using NLTK. Created a generic ML prediction service using Scikit Learning and Flask
Projects
Main developer of various Python Open Source projects and community leader.