About

Aditya Firoda is a highly motivated and dynamic Senior Software Engineer with a strong background in Computer Science. With over 3 years of relevant experience, Aditya has honed his decision-making, analytical thinking, and problem-solving skills to become a skilled professional. He is a supportive team player who is always enthusiastic about streamlining processes to achieve better results. Currently working as a Software Developer at Mercer-Mettl, Aditya has been instrumental in creating a demo and instruction guide web page that has been used by over 200 clients and internal sales/marketing teams to review Mpaas-proctoring features. He has also worked on developing new features for existing reports generated for users in mpaas, which has led to improved interaction per visit by 18% and avg session time by 20%. Aditya has migrated the existing backend proctoring UI service from spring to spring boot, saving up to 33% of development time. He has also created a single sign-on authentication mechanism for the mpaas website, with client-based and IP based whitelisting, automating the entire user creation process. Aditya has implemented AI proctoring of candidate and face detection, creating a mechanism to capture high-resolution images of users, which were used to train better prediction models. He has used Additive Angular Margin Loss function, which improved face detection to 99.8%. Prior to joining Mercer-Mettl, Aditya worked as a Technical Solutions Engineer Associate at Akamai, where he designed a log analysis script that reduced the effort spent by engineers on rebuffering issues. He also exhibited in-depth technical understanding of DNS and HTTP protocols. Aditya completed his B.Tech in Computer Science from Vellore Institute of Technology in 2020. During his time at DRDO as an SDE Intern, he developed the Eigen Value-based Dominant Color Extraction Technique, a significant improvement from KNN. He used Retina-net Architecture to create a CNN model, which was trained on Google Open Image Dataset. The engineered model detected the armored vehicles in context with a high degree of confidence. Aditya's tech stack includes Software Engineering, Spring, UI, AI, Spring Boot, Backend, Web, AngularJS, and CNN. He is a skilled professional who is always looking for ways to improve processes and streamline operations to achieve better results.