André Teixeira

• Leadership Role – Spearheaded a team of software developers and designers, driving the end-to-end process of designing, testing, and maintaining an array of software applications.
• Network and Server admin – Deployed a hybrid cloud setup in Valongo, integrating on-premise services. Optimized connectivity via a MikroTik router bridged to the ISP. Utilized Nginx for reverse proxy, configured VLANs using Cisco and HPE switches, and managed domain and security features using Cloudflare. The servers used type-1 hypervisors like Proxmox and Truenas Scale for storage and backups.
• Workland – Designed and launched a robust CRM and chat system for RACELAND S.A. with management checklists, using Golang for backend, React for frontend. The system was successfully containerized and deployed using Docker on an Ubuntu server.
• Homeland – Engineered a flexible home automation software, using Python and Lit Element/Webcomponents, deploying corresponding mobile apps on Apple's App Store and Google's Play Store using webview technology. Utilized Siemens S7-1200 PLCs for motorhome systems control and integrated YOLOv5 and OpenAI's Whisper for object and voice recognition respectively.
• VoIP System – Established a cloud-based phone system using Fusionpbx. Implemented SIP trunk with inbound and outbound rules, thereby creating a private VoIP system for the company.
• Website – Created a serverless website to minimize costs and maintenance. Utilized Next.js, deployed with Docker to Google Cloud Run, and managed the domain through Cloudflare.
• Roadland – Successfully managed and sold GPS tracking devices using open-source Traccar software.

Developed a webscraper using Python for browser automation to extract and store booking information in a MongoDB database. Processed the data for internal tools using Budibase and Javascript.

Created RACELAND Coin (RACL), a token based on the Solana Blockchain.

Actively contributed to the OpenHasp Project involving hardware analysis, reverse engineering, adding functionalities such as a captive portal, and fixing software bugs for chinese embedded displays with esp32 based chips.

• Eletrical and Computer Engineering – Automation
• Presented and published the master thesis on 'Indoor location infrastructure for time management tools' at the YEF-ECE 2022 Conference in Uninova, Lisbon.
• Workshops: Consulting for PricewaterhouseCoopers (PWC), Python, Pandas, Keras - artificial neural networks, Operations Research Algorithms, Arduino Robotics.

• Completed an extensive project on Deep Learning for Supernova Recognition using Convolutional Neural Networks (CNN) and Autoencoders. Utilized comprehensive datasets of astronomical objects, furthering the field of astroinformatics.