nikhil madichetti

Build and maintain scalable backend services using Node.js, ensuring high-performance application logic and seamless user experiences across HR-Tech verticals. Strategically implemented Python and FastAPI to develop a high-performance data extraction system that automates the ingestion and categorization of large-scale unstructured documents. Developed and deployed REST APIs to facilitate the processing of candidate information, utilizing advanced text-processing models to extract work history, education, and skills. Integrated Redis for efficient data caching to optimize API response times and handle concurrent data requests effectively. Manage the software development lifecycle (SDLC) API development.

I participated in data modeling activities, creating entity-relationship diagrams (ERDs) and designing normalized databases to support efficient data storage and retrieval. While engaging in data modeling and solving SQL-related tasks, I supported business intelligence and analytics initiatives, gaining proficiency in relational database design principles. I contributed to troubleshooting and resolving data-related issues, demonstrating strong problem-solving skills in SQL and Python environments. I learned and applied best practices in SQL performance tuning and optimization techniques, which improved query efficiency and enhanced database performance metrics.