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I am a final year Computer Science student from India with hands-on experience building backend systems, scalable APIs, and containerized ML services. I have worked in real startup environments, remotely with a South Korean company, and thrive when solving practical engineering problems that have real impact.
I want to become an engineer who builds backend systems that people genuinely rely on. My goal is to work on products that solve real problems, contribute to a team where engineering quality matters, and grow through close collaboration with experienced engineers.
Studying computer science with focus on software engineering, data structures, databases, and backend development. Built multiple practical projects involving APIs, distributed systems, and machine learning integration. Developed strong problem solving skills through hands on development and real world engineering internships.
Contributed to backend system development and ML inference integration for production services. Designed API data flows and service boundaries to support scalable architecture. Containerized PyTorch based inference services using Docker and improved system reliability through structured logging and centralized error handling in a remote startup environment.
Designed and developed a multi tenant SaaS backend platform with workspace level data isolation using Django and PostgreSQL. Implemented RESTful APIs with role based access control and modular service architecture to support scalable feature expansion. Focused on clean backend design, structured database modeling, and maintainable service layers similar to real world products.
