KRISHNASAI KAVURI

Software Engineer at Cognizant

Contributed to Google Bard's end-to-end development, delivering robust full-stack web application solutions and scalable RESTful APIs. Designed and optimized data processing APIs, reducing retrieval latency by 25%; built responsive front-end interfaces with React/Angular achieving high cross-browser compatibility; improved API efficiency by 22%; optimized MySQL and MongoDB queries to support 100,000+ AI-driven transactions daily; automated CI/CD pipelines with Jenkins, Maven, Docker, and AWS, reducing deployment cycles by 40% and ensuring 99.9% uptime for 500,000+ Bard sessions.

Software Engineer at Cognizant

Contributed to the end-to-end development of Google Bard, delivering robust full-stack web solutions for millions of users. Designed and optimized RESTful APIs to streamline data processing, reducing retrieval latency by 25%. Built responsive front-end interfaces using React, Angular, HTML5, CSS3, and JavaScript. Developed server-side applications with Java and Python to improve API efficiency and support Bard’s AI-driven workflows. Optimized MySQL and MongoDB queries by 30% for 100k+ AI-driven transactions daily. Automated CI/CD pipelines with Jenkins, Maven, Docker, and AWS, reducing deployment cycles by 40%. Delivered high-performance JavaScript applications with 99.9% uptime and scalable architecture for 500k+ Bard sessions.

Software Engineer Intern at Kelly Technologies

Developed Python machine learning models using Pandas and Matplotlib achieving 85% stock price forecasting accuracy; implemented linear regression reducing overstock by 12% across 2,000+ products; built interactive dashboards to visualize trends; optimized data processing pipelines with NumPy and Scikit-learn increasing training efficiency by 20%; designed and deployed an automated anomaly detection system monitoring real-time transactions; conducted EDA to inform feature selection; used Git for version control.