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Final year Computer Science student passionate about backend systems, AI integration, and building real-world products
In the future, I want to contribute to products that solve real problems by combining solid engineering with thoughtful use of AI. I hope to grow in an environment where I can continuously learn, take ownership, and create technology that genuinely improves how people work or live.
Studying core computer science subjects including data structures, algorithms, databases, and web development. Gained hands-on exposure to machine learning and artificial intelligence through coursework and projects. Focused on applying theoretical concepts to practical systems, strengthening problem-solving and software design skills.
Worked on backend development for ML-powered systems, focusing on API design and service integration. Integrated PyTorch-based model inference into backend services and supported containerized deployments using Docker. Collaborated with the team on testing, documentation, and improving the reliability of production APIs.
Built backend systems for ML-driven applications, focusing on API coordination, data flow, and system reliability. Designed backend services to handle real-time inference requests and orchestration between frontend and ML components. Worked on projects emphasizing clean architecture, latency awareness, and robustness.
Worked on backend-focused web development, building and maintaining a full-stack plugin that integrated external APIs. Implemented backend logic, data handling, and performance optimizations in a production environment. Collaborated with team members to improve code maintainability and system responsiveness.