Full-Stack Engineer & AI Systems Evaluation Specialist

Conduct structured evaluation of production-level applications and engineering systems, focusing on functionality, edge cases, and system reliability. Assess code quality, dependency structure, test coverage, test cases, and deployment readiness across diverse technical submissions. Identify system gaps, missing features, and architectural weaknesses affecting production readiness. Provide structured technical feedback aligned with engineering and AI evaluation standards.

Led and contributed to core system development, guiding feature priorities and ensuring delivery of high-quality components. Designed and implemented core backend modules with emphasis on API design, scalability, performance, and maintainability. Coordinated task execution and aligned development efforts across contributors. Improved system reliability through debugging, API optimization, workflow refinement, and structured testing practices. Delivered production-ready features through continuous iteration and system refinement.

Evaluated AI-generated outputs for technical correctness, clarity, and implementation quality. Performed structured response ranking, correction, and prompt evaluation tasks. Reviewed software engineering submissions including dependency management, testing, and reproducibility. Provided detailed feedback on code quality, system design, and production readiness.

Developed backend systems using Python, Node.js, and NestJS with focus on reliability and data correctness. Designed REST APIs and database schemas to improve system performance, authentication flow, and data consistency. Conducted system testing and validated outputs for consistency and quality assurance. Collaborated with frontend teams to resolve workflow issues and improve system behavior.

Developed and maintained university systems including complaint management and internship evaluation platforms. Built and integrated backend APIs and database structures for institutional workflows. Performed data validation, testing, and system analysis to improve accuracy and usability. Collaborated with stakeholders to refine requirements and improve system operations.

CGPA: 3.44 / 4.00. Relevant coursework included Data Structures, Database Systems, Software Engineering, Web Development, and Computer Networks.