Kavyansh Sharma

I’m a Computer Science undergraduate specializing in backend engineering and performance optimization, driven by efficient system design and production-ready delivery. I enjoy algorithmic problem-solving and building scalable web applications and high-performance systems through internships and projects.

In my Python Full Stack Developer Intern role at EduSkills-AICTE, I built scalable backend-focused applications, optimized SQL queries, and implemented Redis caching to achieve measurably faster API response times. I also delivered 85% unit test coverage across core modules using standard testing frameworks, with a strong focus on reliability and maintainability.

In the AI and Machine Learning Virtual Intern program, I developed end-to-end machine learning pipelines using industry-standard MLOps workflows, building predictive models with TensorFlow and Scikit-Learn and improving efficiency by automating data preprocessing. I back my work with real results—like a 1.5s/lap gain in simulations for AC-DRS and a 40% increase in execution speed in PyOptimizer—while staying committed to clear, scalable engineering.