Aman Dalmia
About Aman Dalmia
Aman Dalmia is a Lead ML Engineer at HyperVerge, where he has volunteered since 2023. He has a diverse background in technology and education, having worked in various roles including Senior Product Engineer at Avanti Fellows and Technical Advisor at Farmers for Forests.
Work at HyperVerge
Aman Dalmia currently serves as the Lead ML Engineer at HyperVerge, a position he has held since 2023. In addition to his role as Lead ML Engineer, he volunteers at HyperVerge Academy, contributing to educational initiatives in artificial intelligence and technology. His work focuses on developing innovative solutions that enhance learning experiences in the field of AI.
Previous Experience
Aman Dalmia has a diverse professional background. He worked at Avanti Fellows as a Senior Product Engineer from 2020 to 2022. He also served as a Consultant - Tech Lead at WisdomCircle from 2022 to 2023. His experience includes a role as a Technical Advisor at Farmers for Forests in 2022 and as a Builder at Plio from 2020 to 2022. Earlier in his career, he held internships at Qualcomm and Niramai, focusing on software engineering and deep learning, respectively.
Education and Expertise
Aman Dalmia has a strong educational foundation in technology and environmental studies. He earned a Bachelor of Technology (B.Tech.) in Electronics and Communication from the Indian Institute of Technology, Guwahati, from 2014 to 2018. He has pursued further education in artificial intelligence through Udacity, achieving the Deep Reinforcement Learning Nanodegree in 2018 and the Self-Driving Car Nanodegree in 2019. Additionally, he studied Environmental Education at Terra.do, completing a course on Climate Change: Learning for Action in 2021.
Projects and Initiatives
Aman Dalmia leads the development of SensAI, an AI tutor designed to assist individuals in becoming full-stack engineers. This project is currently in private beta, showcasing his commitment to advancing educational technology. His work in various roles has contributed to the development of products and solutions that leverage machine learning and AI to address real-world challenges.