Arunav R.
About Arunav R.
Arunav R. is an Associate Software Engineer I at HighRadius, where he has worked since 2022 after completing a Bachelor of Technology in Information Technology from Kalinga Institute of Industrial Technology. He has experience as a Machine Learning Intern and has contributed to significant improvements in accuracy and efficiency in various projects.
Work at HighRadius
Arunav R. currently holds the position of Associate Software Engineer I at HighRadius, where he has been employed since 2022. His role is based in Bhubaneswar, Odisha, India. Prior to this position, he served as a Machine Learning Intern from 2021 to 2022, and also completed a Winter Internship in 2021. During his tenure, he has contributed to various projects, including organizing monthly retraining and remodeling activities to enhance accuracy in reporting and streamlining feature engineering processes using AWS Sagemaker.
Education and Expertise
Arunav R. earned his Bachelor of Technology (BTech) in Information Technology from Kalinga Institute of Industrial Technology, Bhubaneswar, completing his studies from 2018 to 2022. His educational background is complemented by his earlier schooling at Delhi Public School Megacity, Kolkata, where he studied from 2004 to 2018. His academic focus has equipped him with a solid foundation in software engineering and machine learning.
Background
Arunav R. has a diverse background in software engineering and machine learning. He began his professional journey at HighRadius, where he initially took on internship roles before advancing to a full-time position. His experience includes leading a team of interns and mentoring them in implementing machine learning modules, showcasing his leadership capabilities in a technical environment.
Achievements
During his time at HighRadius, Arunav R. has achieved significant improvements in project outcomes. He organized activities that maintained an 85% accuracy in the Actual VS Forecasted report for Dollar Value Realization, resulting in a 15% improvement. Additionally, he streamlined feature engineering processes, reducing execution time by 90% and successfully implemented features on over 8 large-scale accounts. His work on the Adaptive Worklist solution has also contributed to enhancing collections processes.