Worked on enterprise-level SaaS applications handling complex workflows and large datasets. Improved application performance dramatically, reducing load times from ~50s to under 5s. Refactored legacy code and resolved production-level issues to enhance system stability. Built and optimized SQL procedures and backend logic, while collaborating with cross-functional teams on deployments and feature releases.

Completed a Python-focused internship, building a solid foundation in scripting, data handling, and problem-solving. Worked on small-scale applications and automation tasks, gaining hands-on experience with core programming concepts and debugging. Developed a deeper understanding of writing clean, efficient, and maintainable code.

Built responsive full-stack web applications using React, Next.js, and NestJS, improving overall usability and performance. Developed a finance tracking system with efficient data handling for smooth real-time updates. Collaborated in an agile team environment, contributing to feature development and maintaining code quality.

Developed a real-time object detection system using Python, OpenCV, YOLOv4, and TensorFlow, achieving 95% accuracy. Curated and optimized datasets to improve model performance by 30%. Implemented ROI-based object counting to enhance automation and ensure accurate data processing.