Working on the design and development of backend systems that integrate machine learning models into production environments. Focused on building reliable APIs, improving system robustness, and supporting AI-driven applications used internally.
Contributed to the development and enhancement of AI-driven systems using Python and backend frameworks. Worked closely with data and engineering teams to translate machine learning workflows into maintainable, production-ready services.
Supported data processing and analysis workflows by preparing, cleaning, and organizing datasets for downstream use. Assisted in building data pipelines and producing clear visualizations for internal reporting.
Developed backend systems for institutional platforms using Python-based frameworks. Worked on API design, database integration, and process automation to improve the efficiency of student admission and interview workflows.
Assisted with data analysis and preprocessing tasks during a short-term internship. Gained hands-on experience working with real-world datasets, building visualizations, and collaborating within an engineering team.