Adharsh Jaikumar

Student Contributor | Alexandria, VA 2026 – Present

Engineered Python-based data pipelines to process over 50,000 multi-modal sensor data points, reducing data preprocessing latency by 35% for biomedical and robotic applications.
Benchmarked early-stage machine learning models using scikit-learn and PyTorch, achieving a baseline classification accuracy of 88% on preliminary evaluation datasets.
Streamlined hardware-software integration by authoring automated testing scripts and comprehensive documentation, cutting environment setup time by 40% and ensuring full reproducibility.

Student Researcher | Louisville, KY 2025 – 2026

Conducted robotics cybersecurity research studying acoustic side-channel leakage in collaborative robots.
Built signal-processing and machine-learning workflows to analyze motor acoustics and motion-dependent sound signatures from multi-joint robotic systems.
Contributed to a paper published at IEEE/RSJ IROS 2026 and earned 2nd Place at the UofL CSE Graduate Research Competition.

Bachelor of Computer Engineering Expected May 2029

GPA: 4.0/4.0 | Blacksburg, VA

Python Java C++ React TensorFlow PyTorch OpenCV ROS Docker CUDA

Trauma Relief Rover: CUDA-accelerated edge-computing pipeline on Nvidia Jetson Xavier NX for mmWave radar human detection.

Awards: USACO Gold, Kentucky Academy of Science Top Student (2024), AFRL Awards.

AdharshJaikumar