I am a seasoned Senior Full Stack Software Engineer with extensive expertise in AI/ML integration, backend development, and web technologies. With a background that spans roles at leading tech firms and a strong academic foundation in Computer Science and Artificial Intelligence, I excel in designing and implementing innovative solutions. Passionate about leveraging technology to solve complex challenges, My skills encompass Python, TypeScript, React, Next.js, PostgreSQL, AWS, Kubernetes, and AI tools like TensorFlow and PyTorch. Ariel combines technical proficiency with a commitment to collaborative, impactful work, significantly contributing to projects that advance regulatory compliance and user experience.

Ariel Vernaza

I am a seasoned Senior Full Stack Software Engineer with extensive expertise in AI/ML integration, backend development, and web technologies. With a background that spans roles at leading tech firms and a strong academic foundation in Computer Science and Artificial Intelligence, I excel in designing and implementing innovative solutions. Passionate about leveraging technology to solve complex challenges, My skills encompass Python, TypeScript, React, Next.js, PostgreSQL, AWS, Kubernetes, and AI tools like TensorFlow and PyTorch. Ariel combines technical proficiency with a commitment to collaborative, impactful work, significantly contributing to projects that advance regulatory compliance and user experience.

Available to hire

I am a seasoned Senior Full Stack Software Engineer with extensive expertise in AI/ML integration, backend development, and web technologies. With a background that spans roles at leading tech firms and a strong academic foundation in Computer Science and Artificial Intelligence, I excel in designing and implementing innovative solutions. Passionate about leveraging technology to solve complex challenges, My skills encompass Python, TypeScript, React, Next.js, PostgreSQL, AWS, Kubernetes, and AI tools like TensorFlow and PyTorch. Ariel combines technical proficiency with a commitment to collaborative, impactful work, significantly contributing to projects that advance regulatory compliance and user experience.

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Experience Level

C++
Expert
MongoDB
Expert
MySQL
Expert
PostgreSQL
Expert
Python
Expert
Ruby on Rails
Expert
Ruby
Expert
Unity 3D
Expert
Unity
Expert
Keras
Expert
TensorFlow
Expert
GraphQL
Expert
React JS
Expert
PyTorch
Expert
React Native
Expert
TypeScript
Expert
Kubernetes
Intermediate
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Language

English
Advanced
Spanish; Castilian
Fluent

Education

Master on Computer Science with Artificial Intelligence Specialization at University Charles III of Madrid
September 10, 2012 - July 15, 2013
During my studies, I focused on cutting-edge research in AI and robotics, which laid the foundation for his subsequent career in technology. My thesis on simulation techniques for training self-driving assistance systems exemplifies his dedication to applying theoretical knowledge to real-world applications, showcasing his proficiency in advanced technologies and their practical implications.
Computer Science Engineer Bachelor at University of Panama
July 6, 2024 - July 13, 2012

Qualifications

Add your qualifications or awards here.

Industry Experience

Healthcare, Transportation & Logistics, Gaming, Software & Internet
    uniE613 ROS Robotis Mini Controller
    This repository contains a library for connecting to and controlling a Robotis Nano robot using Python and ROS (Robot Operating System). The library facilitates communication with the Robotis Mini via Bluetooth, enabling basic movements and further development for more advanced functionalities. Robotis Mini Drawing](https://www.twine.net/signin
    uniE613 OpenAi ROS Integration
    CERA CRANIUM Architecture and Python 2.7 (used by ROS).
    uniE613 AR DRONE WRAPPER
    ar_drone_wrapper AR Drone Image](https://www.twine.net/signin Overview This repository contains a ROS package for controlling the Parrot AR Drone 1.0. The package is intended to be used with ROS Melodic and is based on the python-ardrone project](https://www.twine.net/signin
    uniE613 Behavioral Cloning: Navigating a Car in a Simulator
    The objective of this project is to clone human driving behavior using a Deep Neural Network (DNN). To achieve this, we use a simple Car Simulator. During the training phase, we navigate the car inside the simulator using the keyboard. While navigating, the simulator records training images and respective steering angles. These recorded data are then used to train the neural network. The trained model is tested on two tracks: the training track and the validation track. The animations below show the performance of the final model on both tracks. Training | Validation ------------|--------------- training_img](https://www.twine.net/signin | validation_img](https://www.twine.net/signin
    uniE613 svl car trainer
    ROS LG SVL Simulation Controller Image Description](https://www.twine.net/signin This project provides an intuitive way to control a simulated vehicle using ROS, OpenCV, and Pygame. It allows for manual control of the vehicle in the LG SVL Simulator, making it a valuable tool for developing and testing autonomous vehicle algorithms. Future Enhancements Add autonomous control capabilities using pre-trained models. Improve the user interface and display additional simulation data. Implement advanced image processing techniques for better visual feedback.
    uniE613 Transfix New Mobile App
    Load Details I played a pivotal role as a Senior Full Stack Software Engineer at Transix LLC, contributing extensively to developing and deploying the Transfix Mobile App. This project aimed to revolutionize logistics by enhancing efficiency and user experience through a robust mobile platform. I spearheaded the backend implementation during my tenure, focusing on delivering key features essential for the app's functionality and scalability. I led the team in integrating critical systems such as location tracking, payment management, and fraud prevention modules, which significantly boosted operational reliability and user engagement. One of my notable achievements was reducing latency by 75% while optimizing backend resource usage, thereby enhancing overall app performance and responsiveness. I also played a crucial role in decommissioning the old app, ensuring a seamless transition to the new platform without disrupting user operations. My role extended beyond technical implementation; I mentored new team members and provided strategic guidance to navigate complex system solutions. Additionally, I collaborated closely with cross-functional teams to integrate new technologies, such as the Valhalla Routing Engine and PC Miler Integration, further enhancing the app's capabilities. The successful deployment and ongoing enhancement of the Transfix Mobile App underscore my ability to lead impactful projects that blend technical expertise with strategic vision, driving innovation and operational excellence in logistics technology.