Headline

Incoming Ph.D. @ MBZUAI | Master of Science, UCLA

About

SymviQ enables organizations to address complex business challenges by integrating advanced machine learning and deep learning solutions. Current contributions focus on developing and optimizing AI models, utilizing computational techniques to deliver innovative outcomes. Academic background includes a Master of Science in Electrical and Computer Engineering from UCLA and an MTech in Signal Processing from IISc. Proficiencies include machine learning, programming, and deep learning, with a commitment to applying research and technical skills to transformative AI technologies.

Location

India

AI stack

antigravity

codex

Work experience

Data Scientist at SymviQ, Aug 2024 - Apr 2026 · 1 yr 9 mos, India

Data Scientist at SymviQ, Aug 2024 - Apr 2026 · 1 yr 9 mos, Bengaluru, Karnataka, India

Masters Student at University of California, Los Angeles, Sep 2023 - Jun 2024 · 10 mos, Los Angeles, California, United States

MTech at Indian Institute of Science (IISc), Aug 2021 - Nov 2023 · 2 yrs 4 mos, India

Analog Intern at Texas Instruments at Texas Instruments, May 2020 - Jul 2020 · 3 mos, Bangalore Urban, Karnataka, India, Worked as a 2 month Analog Intern for Texas Instruments, India, regarding speed optimization of an existing program, and also designed suitable compatible interfaces for user end programmability.

Education

Master of Science - MS, Electrical and Computer Engineering, UCLA Henry Samueli School of Engineering and Applied Science

Mtech, Signal Processing, Indian Institute of Science (IISc)

Public links

github: https://github.com/arijitcodespace