Arun Lakshmanan
About Arun Lakshmanan
Arun Lakshmanan serves as the AI/ML Senior Practice Leader at Aspire Systems in India since 2021, bringing over a decade of experience in the AI/ML domain. He holds a PhD in Deep Learning and Computer Vision and has a strong background in client engagement, project estimation, and mentoring future leaders in the field.
Work at Aspire
Arun Lakshmanan serves as the AI/ML Senior Practice Leader at Aspire Systems, a position he has held since 2021. In this role, he focuses on advancing the company's capabilities in artificial intelligence and machine learning. His responsibilities include overseeing client engagements and project estimations, ensuring that projects align with client needs and industry standards. Arun's leadership is instrumental in driving the AI/ML practice forward, contributing to the organization's growth in this rapidly evolving field.
Education and Expertise
Arun Lakshmanan has a robust educational background in technology and mathematics. He earned a Doctor of Philosophy (PhD) in Deep Learning and Computer Vision from Hindustan University between 2019 and 2023. Prior to this, he completed a Master of Computer Applications (MCA) at the University of Madras from 2001 to 2004, and a Bachelor of Science (B.Sc) in Mathematics from Madras Christian College from 1997 to 2000. His expertise lies in client engagement and project estimation within the AI/ML domain.
Professional Background
Arun Lakshmanan has over a decade of experience in the technology sector. He worked at Verizon Data Services India Ltd as an IT Consultant from 2007 to 2017, where he honed his skills in client relations and project management. Prior to that, he held positions at Symphony Teleca as a Software Engineer and at Persistent Systems as a Member of Technical Staff. His diverse roles have contributed to his comprehensive understanding of technology and leadership in the AI/ML field.
Leadership and Mentoring
In his current role, Arun Lakshmanan actively engages in grooming future leaders in the AI/ML field. He emphasizes team building and mentoring, fostering an environment that encourages professional growth and collaboration. His leadership approach focuses on developing skills and knowledge among team members, preparing them for future challenges in the technology landscape.