Anirudh Punetha
About Anirudh Punetha
Anirudh Punetha is a Tech Lead AI at Gupshup, where he has worked since 2023. He has a background in Electrical and Electronics Engineering from the National Institute of Technology, Kurukshetra, and has held various technical roles in AI and software development across multiple companies.
Current Role as Tech Lead AI
Anirudh Punetha currently serves as Tech Lead AI at Gupshup, a position he has held since 2023. In this role, he oversees the development and implementation of artificial intelligence solutions. His responsibilities include leading a team of developers and ensuring the efficient deployment of AI models. Anirudh's expertise in Natural Language Processing and Neural Networks plays a crucial role in driving innovation within the company.
Previous Experience at Gupshup
Before becoming Tech Lead AI, Anirudh worked at Gupshup as a Senior Software AI Developer from 2021 to 2023. During his tenure, he contributed to various AI projects, enhancing the company's capabilities in machine learning and AI technologies. His work involved collaborating with cross-functional teams to deliver effective solutions tailored to client needs.
Professional Background at Zycus
Anirudh Punetha held multiple roles at Zycus, starting as an Associate Technical Lead from 2019 to 2021 and later as a Technical Lead for a brief period in 2021. His work focused on developing technical solutions and managing projects that utilized AI technologies. This experience helped him build a strong foundation in technical leadership within the AI domain.
Education in Electrical and Electronics Engineering
Anirudh earned his Bachelor's degree in Electrical and Electronics Engineering from the National Institute of Technology, Kurukshetra, Haryana, completing his studies from 2013 to 2017. This educational background provided him with essential knowledge and skills that support his work in artificial intelligence and software development.
Technical Skills and Expertise
Anirudh possesses strong technical skills, particularly in Python programming, which enables him to develop robust AI solutions. He is proficient in Docker, facilitating the efficient deployment and management of machine learning models. His specialization in Natural Language Processing and Neural Networks contributes to advancements in AI technologies, making him a valuable asset in his field.