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Arth Vidyarthi

Machine Learning x Vision @Tesla | EECS @Berkeley

Arth Vidyarthi is an accomplished professional currently involved in developing engineering defect detection systems at Tesla using cutting-edge technologies like deep learning and physics-based techniques. His research background includes creating latent variable models for driver attention prediction in semi-autonomous vehicles and crafting online metrics to assess and enhance the reliability of neural networks. Arth's academic journey includes a Bachelor of Science in Electrical Engineering and Computer Sciences from UC Berkeley College of Engineering, where he demonstrated a keen interest in machine learning applications in various sectors like healthcare, deep-fake detection, and robotics. Arth's professional experiences span across multiple roles, from Machine Learning Engineer and ML Project Engineer at Tesla to leadership positions at Net Impact Berkeley, along with diverse internships and fellowships in companies and organizations focusing on technology, healthcare, and research. His passion for writing about his knowledge and experiences is evident through his online platform at www.arthv.com.

Highlights

Feb 22 · Daily Californian
Weekender | Patagonia pursuit: A newcomer's take on campus consulting - Daily Californian
Arth Vidyarthi
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Location

Austin, Texas, United States