
Work Order Management System
Microservices-based system for managing work orders, including scheduling, tracking, and reporting. Built with Java Spring Boot and PostgreSQL.
Learn More ››Systems Engineering student currently in 9th semester, diving deep into backend development, database design, and applied AI projects. I have a strong passion for crafting efficient, scalable, and data-driven solutions. My interests lie in software development and AI-driven systems.

I have a strong foundation in both frontend and backend development, with experience in a variety of technologies and frameworks. My expertise includes building responsive user interfaces, developing server-side logic, and designing intuitive user experiences. I am also proficient in DevOps practices, testing methodologies, and have a keen interest in applying AI techniques to software solutions.
Build responsive user interfaces with React, Next.js and Tailwind CSS.
Develop server-side logic and manage databases with Java and Spring Boot.
Design attractive and functional user experiences.
Implement integration and continuous delivery practices.
Write automated tests to ensure software quality. knowledg in BDD, TDD and E2E testing.
Apply artificial intelligence techniques to software solutions.
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Academic program focused on the design, development, and maintenance of software systems. Covers programming, algorithms, databases, and software engineering principles.
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Comprehensive training in artificial intelligence development, covering machine learning, deep learning, and AI applications. Focuses on practical skills for building AI solutions.
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In-depth course on cloud computing fundamentals, covering Google Cloud Platform services, architecture, and best practices. Equips learners with skills to design and manage cloud-based solutions.

Microservices-based system for managing work orders, including scheduling, tracking, and reporting. Built with Java Spring Boot and PostgreSQL.
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Developed a full-stack e-commerce website using React for the frontend and Node.js for the backend. Integrated Stripe for payment processing.
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Conducted research on models to detect phishing emails. Implemented a machine learning model using Python and scikit-learn, achieving high accuracy in identifying malicious emails.
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