Rakshitha S S

I’m a Software Engineer who builds production-grade software and ML systems, with a track record of improving both performance and reliability. In my Generative AI & Machine Learning internship, I delivered an 8% model accuracy gain and reduced data preprocessing time by 40% through systematic debugging and pipeline optimization.

I focus on end-to-end delivery—from automated data-cleaning to CI/CD for dependable deployment. I implemented CI/CD pipelines using GitHub Actions and followed Agile development practices for automated testing and deployment, achieving 99.9% system uptime based on monitoring dashboards.

On the full-stack side, I’ve shipped responsive web applications and built client-facing prototypes using React and JavaScript. I also developed a Doctor Appointment Booking System with a scalable MongoDB schema and MERN-style architecture (MongoDB, Express.js, Node.js), centered on clear customer requirements.

My technical toolkit spans Machine Learning, Deep Learning (CNN), NLP, YOLO, and OpenCV, alongside strong software engineering fundamentals like debugging, code reviews, and CI/CD. I bring this mix to projects such as traffic sign detection and synthetic financial transaction generation for fraud detection, and I’m driven by continuous improvement in both models and software workflows.