Motivated and detail-oriented Computer Science graduate student at SUNY Binghamton with a concentration in Artificial Intelligence, actively seeking internships, co-ops, or full-time opportunities in software engineering, data science, or AI-focused roles. Former Software Engineering Associate at Accenture, where I delivered scalable cloud-based solutions and optimized backend systems on Microsoft Azure, improving system performance and client satisfaction. Proven experience in developing predictive models, real-time dashboards, and full-stack web applications through academic and independent projects. Skilled in Python, SQL, Java, .NET, Azure, and machine learning frameworks like TensorFlow. Recognized for a published research paper on human activity recognition using deep learning and wireless sensors. Passionate about building data-driven products that solve real-world challenges and create meaningful user impact.
Programming Languages: Python, Java, C, C, SQL, LabVIEW Web & Frameworks: ASPNET, ASPNET MVC, Flask, HTML/CSS Data & AI Tools: TensorFlow, Scikit-learn, Jupyter Notebook, Anaconda, Power BI Cloud & DevOps: Microsoft Azure, Docker, GitHub, Visual Studio, Gradle, IntelliJ, Eclipse Databases: MySQL, Microsoft SQL Server, Azure Cosmos DB IoT & Embedded Systems: STM32 MCU, ZigBee, Firebase, SD Card Storage Systems Other Tools: LabVIEW, Linux, Visual Studio Code
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