Atharva Keni

Senior EECS & Data Science Minor at UC Berkeley. AI Engineer Intern at PwC. USPTO Inventor.

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I am a senior at UC Berkeley studying Electrical Engineering & Computer Sciences with a minor in Data Science (expected May 2027). My technical focus lies at the intersection of machine learning architectures, physical electronic circuit design, and agentic AI systems.

Currently, I am an AI Engineer Intern at PwC. Alongside my industry work, my primary research is focused broadly on Brain–Computer Interfaces (BCI), exploring how we can decode cognitive states and build robust neural pipelines.

Before Berkeley, I was an independent inventor, filing two USPTO applications in high school. My first patent, Water Management System for Water Conservation (#11,403,720), was granted in August 2022. My second, Air Monitoring and Control System (US 16/994,597), was published in May 2022.

Technical Interests

  • Brain–Computer Interfaces and neural signal processing
  • Context-optimization engines and agentic AI systems
  • Machine Learning (PyTorch, attention layers, Hidden Markov Models)
  • Electronic circuit design and hardware integration

Currently

  • Interning as an AI Engineer at PwC
  • Researching and developing Brain–Computer Interface applications
  • Taking CS 169 (Software Engineering) at UC Berkeley
  • Expanding my knowledge in fundamental algorithms and preparing for the GRE

Feel free to reach out — I am always happy to discuss AI architectures, neural engineering, or collaborate on hardware-software integration.

selected publications

  1. Can Quantum-Mechanical Description of Physical Reality Be Considered Complete?
    A. Einstein*†, B. Podolsky*, and N. Rosen*
    Phys. Rev., New Jersey. More Information can be found here , May 1935