Cristian Garcia, Machine Learning Developer in Medellín - Antioquia, Colombia
Cristian Garcia

Machine Learning Developer in Medellín - Antioquia, Colombia

Member since March 14, 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.
Cristian is now available for hire

Portfolio

  • Snappr Inc
    Tensorflow, ScikitLearn, Numpy, Pandas, Postgres, Docker, Google Cloud
  • Landing AI
    Tensorflow, Numpy, OpenCV, AWS
  • Kiwi Campus
    Python, TensorFlow, MongoDB, AWS

Experience

Location

Medellín - Antioquia, Colombia

Availability

Part-time

Preferred Environment

Ubuntu, Git, VS Code

The most amazing...

...thing I've created was the model for an autonomous robot that could drive on the side walk by itself.

Employment

  • Senior Machine Learning Engineer

    2019 - PRESENT
    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.
    Technologies: Tensorflow, ScikitLearn, Numpy, Pandas, Postgres, Docker, Google Cloud
  • Machine Learning Engineer

    2018 - 2019
    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.
    Technologies: Tensorflow, Numpy, OpenCV, AWS
  • Lead Data Scientist

    2017 - 2018
    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.
    Technologies: Python, TensorFlow, MongoDB, AWS
  • Data Scientist

    2016 - 2017
    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.
    Technologies: Python, TensorFlow, Jupyter, Rasberry Pi, OpenCV, AWS
  • Data Scientist

    2016 - 2016
    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.
    Technologies: Python, Docker, Spark, Flask, Pandas
  • Mathematical Developer

    2015 - 2016
    PTK
    • Researched strategies to optimize pickup planning in warehouses, and technologies to create scalable multi-tenant software.
    Technologies: C#, Elixir, PostgreSQL
  • CTO

    2013 - 2016
    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.
    Technologies: Unity3D, Elixir, Docker, Nginx, PostgreSQL

Experience

Skills

  • Languages

    Python, C#, Wolfram, Markdown, Java, C++, SQL, GraphQL, Bash, Elm, Haskell, JavaScript, Elixir
  • Libraries/APIs

    TensorFlow, NumPy, Scikit-learn, Pandas, Spark ML, NetworkX, PyTorch
  • Other

    Machine Learning, Deep Learning, Deep Reinforcement Learning, Artificial Intelligence (AI), Graph Theory, Simulations, Mathematical Modeling, Optimization, Cython, Genetic Algorithms, Heuristics, Data Visualization, Computer Vision, Natural Language Processing (NLP), Dash Cryptocurrency, Agile Data Science, GitFlow
  • Tools

    MATLAB Statistics & Machine Learning Toolbox, Git, Jupyter, Plotly, Atom, Docker Compose, MATLAB, TensorBoard, Nginx, MQTT, Spark SQL
  • Paradigms

    Object-oriented Programming (OOP), Functional Programming, Data Science, Concurrent Programming, Agile
  • Frameworks

    Flask, Apache Spark, Phoenix
  • Platforms

    Ubuntu, Docker, Amazon Web Services (AWS)
  • Storage

    MongoDB, PostgreSQL, RethinkDB
  • Industry Expertise

    Internet of Things (IoT)

Education

  • Progress towards a degree in Mathematical Engineering
    2009 - 2012
    EAFIT University - Colombia

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