I am a Computer Science graduate and Data Engineer with hands-on experience in data analytics, machine learning, and full-stack software engineering. I build data-driven applications and pipelines using Python, SQL, Django, Next.js, and PyTorch, with a focus on secure APIs, automated data extraction workflows, and AI-powered prototypes.
Through my internships and experience teaching programming and IoT, I have developed strong analytical and communication skills, allowing me to translate complex requirements into practical, reliable technical solutions. I am curious, research-oriented, and passionate about leveraging intelligent systems to solve real-world problems.
I am seeking opportunities to contribute to data engineering, data science, AI, or backend development initiatives. I am highly adaptable to asynchronous remote workflows across global time zones and open to relocation for roles offering visa and relocation sponsorship.
Developed a full-stack office management system using Next.js and Django REST Framework.
Implemented secure role-based access control and dynamic routing. Designed database schemas and backend APIs supporting application functionality, data integrity, and audit logging.
Collaborated on the design and evaluation of deep learning architectures using Python and PyTorch.
Contributed to high-accuracy media synthesis and deepfake detection work.
Developed an Excel dashboard to track UAT progress and provide project management with visibility into testing status.
Gained business and functional exposure to Microsoft Dynamics 365 Business Central and ERP workflows.
Taught IoT and robotics concepts to students.
Introduced programming fundamentals using Python, C++, and Scratch.
Bachelor of Science, Computer Science
Relevant coursework included Software Engineering, Artificial Intelligence, Data Structures, Distributed Systems, Operating Systems, and Networking.
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