Aniketh Parlapalli

About Aniketh Parlapalli

Electrical & Computer Engineering student at the University of Washington focused on VLSI chip design, embedded systems, and AI/ML. Hands-on experience with Arduino and Verilog for hardware design and digital systems, alongside strong programming skills in Python and Java. Currently building a foundation in VLSI design, digital logic, and system-level architecture. Developed data-driven and predictive projects integrating basic machine learning concepts, and collaborated with professors on marketing analytics research, applying quantitative methods to real-world problems. Interested in designing next-generation intelligent hardware and AI-driven systems.

Experience

1. Undergraduate Research Assistant

   Paul G. Allen School Of Computer Science & Engineering

   Nov 2025 — Present · Seattle, WA, US

   Collaborating with the Personal Robotics Lab at the Paul G. Allen School of Computer Science & Engineering, University of Washington.Trained a diffusion-based robotic control policy on Linux using 100+ teleportation trajectories achieving >90% task success on valve and handling manipulation, built an end-to-end AI pipeline on Linux with ML. Designed a real-time embedded robotics stack, integrating MCU firmware, high-rate sensor buses, and Linux edge compute streaming 100+ Hz telemetry into learning-based control loops and cutting policy convergence time by ~35%.

Education

• University of Washington

  Engineering