A passionate computer scientist with extensive expertise in software development, computer vision, and artificial intelligence. Fluent in multiple programming languages and technologies, including Python, PyTorch, TensorFlow, JavaScript, and TypeScript, with a proven track record of delivering impactful solutions in various domains. As a Graduate Teaching Assistant at AASTMT, students have been mentored in computer vision, data science, and big data technologies, with assignments and lesson plans designed to enhance learning outcomes. Research contributions include leading the design and development of a secure platform for monitoring autism patients, incorporating microservices, scalable APIs, and blockchain technology for secure data management. Professional achievements extend to software development for autonomous and underwater exploration systems Dedication to mentorship is evident through coaching teams for programming competitions like ECPC, ACPC, and ICPC, with mentees achieving significant success. Leadership and collaborative spirit are integral to fostering talent and guiding aspiring computer scientists. Recognized with top placements in international and regional robotics competitions and programming contests, these accomplishments highlight a continuous drive to make meaningful contributions to the fields of computer science and technology.