Developing a full-scale SaaS platform featuring an AI tutor, speech-to-text learning, a course marketplace, live chat, gamification, and a scalable cloud infrastructure.
Built a smart monitoring system leveraging OpenCV for live face detection and facial landmark tracking (eyes, nose, mouth). Extracted movement features to train Support Vector Machines (SVM) models capable of classifying emotions in real-time video streams.
Conceived and implemented a transit web application that provides real-time tracking metrics. It displays the precise location of buses on Google Maps and dynamically calculates the estimated time left to reach subsequent stations based on live traffic density.
Core Stack: ASP.NET, C#, Visual Studio 2017, Google Maps API
Designed the mechanical layout and 3D modeling of a scanner alongside optimal hardware power configuration. Developed the control loop firmware on a Raspberry Pi, built UI windows/menus with Qt for configuration, and used OpenCV for clear image acquisition.
Developed a clean web application ensuring optimized CRUD task operations and smart categorizations. Features reliable global state management architecture via Redux Toolkit and a safe secure login pipeline coupled with a flexible NoSQL schema setup.
Developed a desktop tool to read and test backend MQTT messages in real-time, displaying a complete history of geographical positions directly mapped on the dashboard.
Enhancement of existing desktop functionalities related to financial portfolio management. Designed utilizing UML and focused on key performance improvements of data processing algorithms and business logic mapping.
Frontend development and design for the comprehensive migration of the OPCVM financial platform from a traditional desktop WPF application into a scalable, high-performance web-based cloud solution. Developed utilizing CQRS pattern constraints.
Development, architectural design, and reliable execution of robust automated tests for the Newrest website enterprise pipelines to enforce platform scaling stability.
Core Stack: C#, Selenium WebDriver, SQL, Test Automation Engines
Modifications and design updates in frontend web tracking modules to trace, isolate, and view backend real-time security threats and location parameters directly on interactive maps.
Core Stack: React.js, Redux, Node.js, JavaScript, Mqtt Explorer
Development of a mission-critical desktop automation tool configured to handle real-time bridge monitoring controllers. Managed SOA architectures, unit validation suites, and technical leading structures.
Core Stack: C#, WPF .NET, C++/Qt, Python, SQL, SOA, MS Unit Test
Full-stack implementation of a multi-tier CRM web application built using ASP.NET frameworks, secure REST interface layers, and automated verification testing components.
• Control various hardware test devices using Beaglebone Black system targets.
• Establish a lightweight responsive website dashboard to control the card IO pipelines cleanly.