I transform ideas into stunning
digital experiences
BlueAras Website
Corporate website
I developed the website for BlueAras, a company specializing in aerial supervision solutions using drones. The site highlights the features of their products with a clean design and interactive 3D elements that enhance the visual presentation. Deployed on Vercel, this project combines simplicity and cutting-edge technology to offer a clear and attractive experience.
Festival QR App
Capturing leads interactively
I developed an app for ForeverGlow, a cosmetics store in Cali, Colombia, focused on capturing leads during their Forever Fest event. The app allows users to scan QR codes, manage users, and feed a PostgreSQL database for future promotions and raffles. Built with Next.js and deployed on Vercel using Supabase, the backend was developed in JavaScript with TypeScript, providing a robust and scalable solution for data collection and management at events.
The Ojo Project
Photo booth application
In The Ojo Project, I developed modules in an application that integrates with photo booth hardware for events. I added features to create events, generating specific folders in AWS S3 to store photos of each event. I implemented AWS Lambda functions in the backend to manage storage and functionality, created a new view in the frontend with Next.js, and worked on integrating the logo as a watermark on photos from the Raspberry Pi client developed in Python.
Aras Desktop Application
Managing services easily
I developed Aras Desktop using Electron, NodeJS, React, and an Express server to facilitate the management of software services at BlueAras. This application allows users to manage drone flight operations and associated services running in Docker containers. With Aras Desktop, users can start, pause, and stop services, monitor logs and consumption, and access critical information such as IPs and GPS coordinates. Additionally, it features an automatic update system integrated with GitHub releases.
Inference Engine
Computer Vision for object detection
In this project, I modified a computer vision engine based on YOLO to use ONNX instead of PT, making it more portable and easier to manage versions. I trained computer vision models, including one specialized in detecting armed individuals, using Colab, Python, OpenCV, RoboFlow, and TensorBoard for metric tracking. I also led a labeling team, ensuring label quality to achieve accurate and effective models.
Sigup
SigupERP to enhance operational efficiency
It is an ERP (Enterprise Resource Planning) platform under development for a pulp production company. This system manages processes and accounting, allowing profile management, audits, and more. The platform is being built with a robust technology stack, including Python, Postgres, React, and Django. It is designed to optimize the company's operational efficiency, providing a comprehensive solution that covers all accounting and management needs.
INNOVATING WITH CUTTING-EDGE TECHNOLOGIES
As a developer specializing in prompting, I use cutting-edge technologies to create innovative and personalized solutions that maximize the impact of each project.
I am Daniel, also known as Drincon7 on ,I am a developer with experience in creating digital experiences from Cali.
Defining oneself is limiting, a phrase that has guided me throughout my life. I was born in Cali and grew up here all my life. I love everything related to technology, which is why I have worked on several projects related to it.
I grew up in a technological ecosystem called Parquesoft and acquired a hacker mentality where solutions are always within reach, at the lowest cost, and with the best results.
Art is the voice of the soul,create yours!
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