Udacity Student Success Story - Ricardo Diaz
In just two years, Ricardo Diaz executed an almost impossibly rapid career transformation. Today, he has a new career as a Machine Learning Engineer in Peru, and this is his story.
About me
I am a passionate machine learning engineer with 4 years of experience designing, building, and optimizing state-of-the-art deep learning algorithms in real world applications. I enjoy creating solutions to complex problems in fast paced environments. With a highly diverse educational background and cultural experiences I excel at leading and collaborating with teams of different knowledge sets. I have a versatile set of skills to adapt and learn quickly. Always researching, learning and continuously self improving.
Recent Work
Facial Emotion Recognition System
Analyze customer satisfaction while being attended using a Facial Emotion Recognition CNN in Pytorch
Cosmetics Recognition App
A Cosmetics Recognition Convolutional Neural Network CNN with 98.60% classification accuracy deployed to a mobile app using Tensorflow Lite.
Car Damage Recognition System
Developed a convolutional neural network for damage recognition on automobiles and deployed as an REST API.
Tracking Customer Behavior System
A people tracking system using YOLOv3/DeepSort to analyze customer behavior inside an establishment.
Containerized Machine Learning
A simple and ready to use template to create and deploy a machine learning model using Docker and Flask.
Experience
Machine Learning Engineer at CGG
- Improved research and development productivity 33% by developing a flexible and efficient pipeline to easily train and test different ML models on a variety of tasks.
- Delivered seminars and talks about machine learning technology advances and projects to stakeholders and clients.
- Designed an easy to use framework for scientists without coding experience to analyze ML results on multiple datasets.
Machine Learning Engineer at Everis NTT DATA
- Led the design and development of a Cosmetics Recognition mobile application for a proof of concept POC.
- Improved processes efficiency 99.30% by replacing traditional SQL with big data using Spark and Azure Databricks.
- Built a discounts recommender by reproducing a neural collaborative filtering model from a paper on Keras.
- Delivered 3 workshops about recurrent and convolutional neural networks and containerized ML with Docker.
Independent Consulting at Udacity
- Increased students’ engagement by creating a unique education plan for each student's learning preference and skills.
- Prepared and delivered personalized virtual lectures to address students’ challenging concepts and weak points.
- Reviewed and evaluated the code of more than 70 project submissions each month from 5 different ML projects.
- Contributed to the development of 3 different courses by providing feedback about content and students’ performance.