Rajat Arya
About Rajat Arya
Rajat Arya is a Software Engineer currently working at Iris Software Inc. in Noida, India, with a background in software development and automation, including significant contributions to projects involving robotics and deep learning.
Work at IRIS Software
Rajat Arya has been employed at Iris Software Inc. as a Software Engineer since 2023. His role involves contributing to software development projects and leveraging his expertise in programming and automation. The position is based in Noida, Uttar Pradesh, India, where he is part of a team focused on delivering innovative software solutions.
Previous Experience at ED Apply Pvt Ltd
Rajat Arya worked at ED Apply Pvt Ltd in two capacities. He served as the Head of Software Development for nine months in 2019, where he developed an automation module that analyzes session commands and autonomously closes sessions deemed non-risky. Following this role, he was appointed as Chief Technology Officer from 2020 to 2021, overseeing technological strategies and development initiatives.
Background in Software Development
Rajat Arya has a diverse background in software development. He co-founded StarGent Tech, where he served as a Mentor from 2018 to 2021. He also worked at Tata Consultancy Services as a Python Developer for two years, focusing on integrating data sources from various platforms into application databases. Additionally, he gained experience as a Deep Learning Intern at Leadinindia.ai in 2019.
Education and Expertise
Rajat Arya earned a Bachelor of Technology (BTech) degree in Computer Science from Jaipur Engineering College & Research Center, completing his studies from 2017 to 2021. His academic background has provided him with a solid foundation in software engineering principles and practices, which he applies in his professional roles.
Research and Development Projects
Rajat Arya has contributed to research in robotics, specifically involving the Japanese Humanoid Robot NAO. He published a research paper detailing a project that enabled the robot to capture and interact with a red ball using its webcam. This project utilized NAOqi OS and Aldebaran software modules, showcasing his skills in both software development and robotics.