Bachelor of Science - BS

• Engineered a robust NestJS microservices backend architecture supported by AWS, designed to manage a global network of over 1,400 hotspots and handle data for a B2B portal and a B2C application with more than 40,000 active users monthly. • Developed a VueJS and TailwindCSS dashboard utilized by major Internet service providers, including PTCL and LigaT Portugal. The dashboard provides real-time analytics on hotspot locations, user demographics, and advertising effectiveness, enhancing strategic decision-making. • Played a pivotal role in developing a consumer-facing Flutter app that integrates web3 and blockchain technology. This app enables hotspot owners to earn credits by providing extra bandwidth as free internet, which can be exchanged for cryptocurrency. It provides functionalities like hotspot configuration, usage tracking, and earnings management. • Transitioned backend services from NodeJS to NestJS, significantly enhancing system performance and scalability to support globa

Software Engineer

During my internship, I cultivated skills in various facets of server-side web application development. My responsibilities encompassed: • Architecting and executing server-side algorithms for web-based applications. • Facilitating the deployment of server-side scripts in live environments. • Engineering robust application programming interfaces (APIs) to enhance interactivity. • Engaging extensively with both SQL and NoSQL databases, notably MongoDB and MySQL. • Acquiring insights into optimal practices for Authorization and Authentication in web applications. Throughout the internship, I employed a range of technologies and tools, such as NodeJS, ExpressJS, MongoDB, MySQL, Postman, Git/Github, MySQL Workbench, and MongoDB Compass.

Back-end Developer

• Developed a video conferencing platform with real-time sign language recognition, integrating AI Models. Built the entire platform using Flask, JS, and MySQL, enabling seamless video calls with real-time chat and sign language detection that translates American Sign Language into live chat messages. • Engineered a real-time communication system using WebRTC and SocketIO, ensuring low-latency video streaming and chat updates. Implemented Nginx with WebSockets support for reliable server deployment and optimized performance. • Designed and managed a MySQL database, handling user authentication, chat logs, payment records, and video session data. Integrated Stripe for secure subscription-based payments, streamlining monetization and user management. • Implemented Brevo-powered automated email workflows for marketing, user verification, password recovery, and transactional notifications, enhancing user engagement and security.

• Led the creation of an advanced multi-agent LangGraph chatbot, featuring intelligent routing, web search, SQL Agent, RAG search, handoffs, and context memory, capable of delivering real-time football stats, match summaries, predictions, and analytics, significantly enhancing fan engagement and content personalization. • Architected and fully developed a microservices backend using FAST API and NodeJS, deployed on Google Cloud Platform (GCP), to handle extensive real-time football data and user interactions efficiently. • Designed and implemented multiple Flask and React dashboards that provide real-time insights into data flows and manage GCP workflows, significantly reducing time and overhead for internal teams and streamlining their processes. • Developed and managed 10+ complex data pipelines. Utilized GCP services like Cloud Run, Batch Jobs, Cloud Scheduler, and Storage Buckets to automate the ingestion, processing, and storage of gigabytes of data into MongoDB,

• Designed and developed a WhatsApp-based AI chatbot for self-development courses, integrating Meta’s WhatsApp Cloud API, Azure AI, Eleven Labs, OpenAI LLMs, and Whisper. The chatbot supports multimodal learning through audio, video, images, and text, enabling 6000+ users to deliver interactive and personalized learning experiences. • Migrated an ASP.NET backend and HTML/Bootstrap/JS frontend to a Node.js backend and React frontend, significantly improving system performance and user experience. This new platform serves as an admin panel for internal teams, increasing the speed of course uploading by 50% and data fetching efficiency by 80%. • Implemented advanced AI-driven features, including speech recognition, language identification, speech synthesis, and pronunciation assessments, providing a multilingual learning experience that adapts to diverse linguistic backgrounds and improves accessibility. • Maintained an Azure-hosted infrastructure, utilizing PostgreSQL, App Services, and

Software Engineer - Building Solutions at Vantaso

github

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