Mradul Kanugo
About Mradul Kanugo
Mradul Kanugo is a Senior Machine Learning Engineer at Softude, where he has worked since 2018. He has a background in software development and has made significant contributions to AI initiatives, including predictive modeling and business intelligence tools.
Work at Softude
Mradul Kanugo has been serving as a Senior Machine Learning Engineer at Softude since 2018. In this role, he conceptualized and developed the Octane AI portal, which has become a key channel for securing new projects. He also created and developed the AI/ML wing at Softude, where he oversees various functions including sales, recruitment, marketing, and finances. His contributions have been pivotal in driving the company's AI initiatives and enhancing operational efficiency.
Previous Experience at Thoughtworks
Prior to his tenure at Softude, Mradul Kanugo worked at Thoughtworks as a Software Developer from 2016 to 2018. During his two years there, he gained valuable experience in software development, which laid the foundation for his future roles in machine learning and AI. His work at Thoughtworks contributed to his skill set and understanding of software engineering principles.
Education and Expertise
Mradul Kanugo earned his Bachelor of Technology in Computer Science from the National Institute of Technology Meghalaya, where he studied from 2012 to 2016. He is currently pursuing further education at the Indian Institute of Management, Kozhikode, starting in 2015. His academic background has equipped him with a strong foundation in technology and management, enhancing his capabilities in the field of machine learning.
Achievements in Machine Learning
Mradul Kanugo has made significant contributions to machine learning applications. He programmed an NLP-based portal for in-depth Job Cards analysis, which was adopted by senior executives at Eicher Motors for strategic insights. Additionally, he architected a predictive ML model for Eicher Motors that forecasts Turbocharger failures up to three weeks in advance, improving maintenance efficiency. His work has led to the development of business intelligence AI tools that resulted in efficiency improvements of up to 75%.
Innovations and Projects
Mradul Kanugo has been involved in various innovative projects that leverage AI and machine learning. He implemented a CNN algorithm that saved up to 90% of API costs and improved AWS's OCR accuracy. He also built GPT-powered applications for insights extraction and question answering over documents. His initiatives in AI adoption have significantly accelerated software development timelines, with one project achieving a 55% reduction in completion time.