Jai Saxena

At EdgeVerve, as a Product Development Engineer Intern, I enhanced product quality and performance by implementing agile methodologies and rigorous testing, including a significant migration to Quarkus. My expertise in Java, coupled with strong troubleshooting and critical thinking skills, significantly increased product performance.

IEEE Published Researcher: Optimized Graph Edit Distance Algorithm

• Developed a novel approach using Neural Combinatorial Optimization (NCO) to enhance the Graph Edit Distance (GED) algorithm for Activity Cliff Analysis (ACA) in drug discovery.
• Successfully improved the identification of compounds with similar structures but different biological activities, potentially accelerating drug discovery and development.
• Paper published in IEEE, showcasing significant advancements in computational algorithms for molecular graph analysis.

Project Highlights

• Basic Card Game: Created using JavaScript, HTML, and CSS, this project demonstrates fundamental front-end development skills.
• Goibibo Clone: Designed a full-featured travel booking platform clone using Node.js and Angular, showcasing back-end and front-end integration expertise.
• Spring Microservices Project: Developed a complex application using Spring framework and microservices architecture, highlighting proficiency in scalable and modular software development.
• Document Management REST API: Built a robust REST API for managing documents using Quarkus, demonstrating advanced skills in API development and Quarkus framework.