Software Engineer @ Digio | Indian Institute of Information Technology - Gwalior | Ex-Vision AI | Ex-DRDO Research Intern | Google DSC Android Lead ’23

Bengaluru

Hyderabad

Gwalior







Bachelor's Degree, Information Technology
ABV- Indian Institute of Information Technology and Management, Gwalior, India
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Download Tal BossSoftware Engineer @ Digio | Indian Institute of Information Technology - Gwalior | Ex-Vision AI | Ex-DRDO Research Intern | Google DSC Android Lead ’23
As a Team Builder, I focus on working closely with all departments to ensure the consistency of technology strategy with the company's overall strategy, actively promote digital transformation, promote the application of intelligent technology, and improve business agility and customer experience. At the same time, I attach great importance to team building and development, and am committed to cultivating and motivating the technical team to achieve excellent results In my years of industry experience, I have a deep understanding of the driving role and strategic value of technology to the business. I will continue to be committed to technological innovation and management, promote the company's leading position in the field of information technology, and lay a solid foundation for the company's future development
Bengaluru
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Software Engineer at Digio.in, Jul 2025 - Present · 1 yr 2 mos, Bengaluru
Android Developer Intern at visionAI, Apr 2024 - Sep 2024 · 6 mos, Hyderabad, • Spearheaded the development of a cutting-edge Android app using Kotlin, MVVM clean architecture, micro-services and Jetpack ML Kit, providing recommendations for eye expert consultations for 6+ eye related diagnosis. • Designed two Machine Learning algorithm to predict user’s dry eye condition and user’s distance from phone. • Implemented a Bayesian algorithm achieving an 91% accuracy in assessing user’s reading text proficiency.
Research Assistant at DRDO, Ministry of Defence, Govt. of India, Mar 2023 - Aug 2023 · 6 mos, Gwalior, • Developed a Simulation software based on two layer shallow water modelling to simulate heavy gas dispersion. • Debugged and optimized the legacy DRDO model based on Gaussian Plume Model and Lagrangian Puff Model, resulting in a 40% reduction in prediction errors and improved accuracy in air quality forecasting. • Improved accuracy of Resultant Output by 55.5% when compared to Thorney Island heavy gas dispersion trials.
Bachelor's Degree, Information Technology, ABV- Indian Institute of Information Technology and Management, Gwalior, India
github: https://github.com/spedrick
leetcode: https://leetcode.com/theyuvrajkumar