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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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.
 and Python 2.7 (used by ROS).
ar_drone_wrapper
. 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 |
- 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.
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
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.
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