Yash Kanodia
About Yash Kanodia
Yash Kanodia is a Software Engineer with experience in software development and machine learning. He has worked at various companies, including Crowe Mak, Pervacio, Inc., Cognirel, and currently at AIS in Hyderabad, India.
Current Role at AIS
Yash Kanodia has been employed as a Software Engineer at AIS (Applied Information Sciences) since 2020. In this role, he contributes to various software development projects, utilizing his skills in programming and software engineering. His work involves collaborating with teams to design and implement solutions that meet client needs.
Previous Experience in Software Development
Prior to his current position, Yash Kanodia gained experience as a Software Developer Intern at Pervacio, Inc. in 2017, where he worked for one month in the Hyderabad Area, India. He also served as a Technical Consultant Intern at Crowe Mak for six months in Dubai, United Arab Emirates, in 2019. During these internships, he developed a log analysis tool and gained practical knowledge in software development.
Education and Academic Background
Yash Kanodia completed his Bachelor of Engineering in Computer Science at Birla Institute of Technology and Science, Pilani Dubai from 2015 to 2019. Prior to this, he studied at FIITJEE, focusing on MPC, and achieved his Higher Secondary School certification from 2013 to 2015. He also attended Gitanjali Devshala, where he completed his ICSE and achieved his High School certification from 2011 to 2013.
Experience in Machine Learning
Yash Kanodia worked as a Machine Learning Engineer at Cognirel from 2019 to 2020. In this role, he focused on applying neural networks to pathfinding problems as part of his machine learning projects. This experience enhanced his understanding of machine learning concepts and their practical applications.
Technical Skills and Interests
Yash Kanodia is skilled in various industrial tools, including Microsoft Azure and MySQL. He has experience with ASP.NET MVC development through his internships and projects. His interests lie in Full Stack Development and Machine Learning, where he aims to leverage his skills to address real-world challenges.