Cristian Garcia
Verified Expert in Engineering
Machine Learning Developer
Medellín - Antioquia, Colombia
Toptal member since August 23, 2017
Cristian is a machine learning engineer and developer with a background in math and physics. He has extensive experience creating machine learning applications in fields such as autonomous vehicles, video analytics, and manufacturing. His strong combination of theory, coding, and infrastructure knowledge enables him to create real products.
Portfolio
Experience
- Python - 7 years
- NumPy - 6 years
- Docker - 5 years
- Machine Learning - 4 years
- TensorFlow - 4 years
- Pandas - 3 years
- Scikit-learn - 2 years
- PyTorch - 1 year
Preferred Environment
Visual Studio Code (VS Code), Git, Ubuntu
The most amazing...
...thing I've created was the model for an autonomous robot that could drive on the side walk by itself.
Work Experience
Senior Machine Learning Engineer
Snappr Inc
- Developed a model for ranking potential costumers.
- Developed a neural network model for predicting sales using time series data.
- Developed dashboards to visualize the offer and demand of a map using Dash, Plotly, and Mapbox.
- Developed a deep learning model for the classification of photographer portfolios.
- Developed an image clustering algorithm for automatic culling.
- Developed some web-scrapers and other RPA automation tools to gather image data.
Machine Learning Engineer
Landing AI
- Created computer vision models for autonomous visual inspection (AVI) for big manufacturing companies.
- Proposed and developed internal tools to improve the data efficiency of machine learning datasets.
- Developed GAN models for data augmentation related tasks.
Lead Data Scientist
Kiwi Campus
- Created a real time system to capture data of the pilots behavior.
- Designed a robust data pipeline capable of processing millions of images.
- Developed a Neural Network model to drive a delivery robot on the sidewalk.
Data Scientist
BD Guidance
- Designed the curriculum of various Data Science/ML courses.
- Evaluated various IoT platforms.
- Investigated technologies such a TensorFlow and OpenCV to run ML algorithms in IoT devices.
Data Scientist
Senseta
- 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.
Mathematical Developer
PTK
- Researched strategies to optimize pickup planning in warehouses, and technologies to create scalable multi-tenant software.
CTO
AristaDev
- Cofounder/Developer: Cofounder and main developer on an Augmented Reality platform. I developed the mobile client and backend of Arista using tecnologies such as Unity3D, C#, Elixir, Docker, Nginx, and PostgreSQL.
Experience
Author of Pypeln
Founder of the Machine Learning Meetup Medellin
https://www.meetup.com/es-ES/ml-medellin/Contributor to Tensorflow Addons
https://github.com/tensorflow/addonsCofounder of the Machine Learning Colombia Community
Author of Dataget
Contributor to Specktral Graph Neural Networks Library
https://github.com/danielegrattarola/spektralAuthor of Phi Library
https://github.com/cgarciae/phiEducation
Progress towards a Degree in Mathematical Engineering
EAFIT University - Colombia
Skills
Libraries/APIs
TensorFlow, NumPy, Scikit-learn, Pandas, Spark ML, OpenCV, NetworkX, PyTorch
Tools
MATLAB Statistics & Machine Learning Toolbox, Git, Jupyter, Plotly, Atom, Docker Compose, MATLAB, TensorBoard, NGINX, MQTT, Spark SQL
Languages
Python, C#, Wolfram, Markdown, Java, C++, SQL, GraphQL, Bash, Elm, Haskell, JavaScript, Elixir
Paradigms
Object-oriented Programming (OOP), Functional Programming, Concurrent Programming, Agile
Frameworks
Unity3D, Spark, Flask, Apache Spark, Phoenix
Platforms
Raspberry Pi, Ubuntu, Docker, Amazon Web Services (AWS), Visual Studio Code (VS Code)
Storage
Google Cloud, MongoDB, PostgreSQL, RethinkDB
Other
Machine Learning, Deep Learning, Deep Reinforcement Learning, Artificial Intelligence (AI), Graph Theory, Simulations, Mathematical Modeling, Optimization, Cython, Genetic Algorithms, Heuristics, Data Visualization, Data Science, Computer Vision, Natural Language Processing (NLP), Dash Cryptocurrency, Agile Data Science, GitFlow, Internet of Things (IoT), Generative Pre-trained Transformers (GPT)
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