Rajarsi Pal
About Rajarsi Pal
Rajarsi Pal is a research intern currently working at Inria in Paris, France, with a background in quantum computing and machine learning. He has previously held internships at various organizations, including Quantum Open Source Foundation and Qulabs Software India, and has a strong academic foundation in physics.
Work at Inria
Currently, Rajarsi Pal is working as a Research Intern at Inria, a prominent research institution in France. He began this role in March 2023 and is expected to continue for one year. His work focuses on designing quantum algorithms that are applicable beyond basic test scenarios, contributing to advancements in quantum computing.
Previous Experience in Quantum Computing
Rajarsi Pal has a background in quantum computing through various internships. He served as a Quantum Machine Learning Intern at Qulabs Software India for six months in 2022, where he gained practical experience in the field. Additionally, he was a Mentee at the Quantum Open Source Foundation for three months in 2022 and worked as a Project Intern at QWorld for two months in the same year.
Education and Expertise
Rajarsi Pal holds a Master of Science in Physics from the Indian Institute of Technology, Madras, which he completed from 2020 to 2022. He also earned a Bachelor of Science in Physics from Ramakrishna Mission Vidyamandira from 2017 to 2020. His educational background includes specialized training in quantum computing and machine learning, with certificates from the Max Planck Institute for the Science of Light and The Coding School.
Current Role at Chegg Inc.
In addition to his research internship, Rajarsi Pal has been working as a Q&A Expert in Calculus at Chegg Inc. since 2020. This role has allowed him to apply his knowledge in mathematics while assisting students with their academic inquiries.
Certifications in Quantum Machine Learning
Rajarsi Pal has pursued further education in quantum machine learning, participating in the Qiskit Global Summer School in 2021, where he achieved a Certificate of Quantum Excellence. His studies have focused on quantum-enhanced optimization and machine learning algorithms, reflecting his commitment to advancing his expertise in the field.