Robotics M.S.E. · Penn GRASP Lab

Electrical & systems engineer turned roboticist. I build machines that sense, move and climb — and I dance when I'm not building them.

Keshav Vasanth
PHILADELPHIA, PA

About Me

Who I am

I'm a Robotics M.S.E. student at the University of Pennsylvania (GRASP Lab), focusing on machine learning, control systems, robot kinematics & dynamics, and perception.

I earned my B.S. in Electrical & Systems Engineering from Washington University in St. Louis, with a minor in Dance and the interdisciplinary Beyond Boundaries program.

Along the way I've qualified DLP chips at Texas Instruments, designed 5G RF filters at Qorvo, and built gas-separation hardware for carbon sequestration. I love mixing thoughtful, artistic design with hard engineering to solve real problems.

For 13+ years I was part of Destination Imagination, building creative solutions to challenges in conservation, hurricane relief and pollution reduction.

Education

Training
NOW

University of Pennsylvania

M.S.E. Robotics · GRASP Lab · Aug 2026 – May 2028 (exp.)
  • Coursework: Machine Learning, Control Systems, Robot Kinematics & Dynamics, Perception
CLEARED

Washington University in St. Louis

B.S. Electrical & Systems Eng. · Aug 2022 – May 2026
  • Minor in Dance · GPA 3.7
  • Dean's List (4 semesters) · Beyond Boundaries Interdisciplinary Program
  • CIEE Study Abroad – Kyoto, Japan (2024) · SMU-in-Taos, NM (2023)

Skills

Abilities

Programming

PythonC/C++MATLABJavaScriptOpenCVROSPID ControlSemiconductor Sim

Hardware & Test

DLP / ESD TestingBAW FilteringPCB DesignPSpiceRaspberry PiArduinoSolderingCNC

CAD & Tools

SolidWorksFusion 360AutoCADGit

Languages

English — fluentJapanese — introFrench — intro

Experience

Missions cleared
May – Aug 2026Dallas, TX

Texas Instruments

Test Engineering Intern — DLP Products Group
  • Developed a stress-test protocol that is now the standard qualification procedure for all future-generation DLP controllers, screening out early-life failures before customer shipment.
  • Engineered an electrostatic discharge (ESD) characterization test defining safe operating limits for DLP devices; results adopted directly by product design teams.
  • Expanded skills in circuit design, CAD and automated test-system development for semiconductor validation.
May – Aug 2025Richardson, TX

Qorvo, Inc.

Device Engineering Intern
  • Designed and validated RF components for 5G systems using Bulk Acoustic Wave (BAW) filtering technology.
  • Ran circuit simulation and piezoelectric materials analysis to optimize semiconductor device performance.
Aug 2025 – May 2026WashU

McKelvey School of Engineering

Teaching Assistant — ENGR 4502: Engineering Leadership & Team Building
  • Facilitated leadership development, design thinking and team-based problem-solving for 30+ engineering students.
Jan 2024 – May 2025WashU

Applied Physics Lab

Undergraduate Researcher · Advisor: Prof. Tsitsi Nussinov
  • Developed an electric-field ionization system for gas separation with applications to carbon sequestration.
  • Designed test chambers in SolidWorks; built Python/MATLAB data acquisition and analysis pipelines.
Aug 2019 – Aug 2021Dallas, TX

Southern Methodist University

Junior Researcher · Advisor: Prof. J.-C. Chiao
  • Optimized smart sensor systems for biomedical and energy-harvesting applications.
  • Developed embedded feedback-control algorithms for autonomous sensor calibration.

Projects

Builds
01

Autonomous Climbing Robot

Apr 2023 · Team Coordinator

Vertical-navigation robot using ROS and computer vision, hitting a 95% climb success rate in unstructured environments.

ROSComputer VisionMechatronics
02

Computer Vision Mini-Robot

Dec 2023

Autonomous navigation on a Raspberry Pi using OpenCV and visual SLAM.

Raspberry PiOpenCVVisual SLAM
03

Airborne Toxin Detector

Sep 2023

Multi-sensor array with wireless data transmission for real-time environmental monitoring.

SensorsWirelessEmbedded
04

Smart Posture Wearable

Aug 2020
★ U.S. Provisional Patent Filed

ML-based wearable sensor system for ergonomic correction, co-developed through the Disney Dreamers Academy / WDI program.

Machine LearningWearablesSensors

Publications

Records
2024

Investigation of the Use of Capacitors for Gaseous Filtration and Separation

With Prof. T. Nussinov · May 2024

2020

ION-U: Autonomous Drowning Detection with Wearable Sensors

BMES Conference · Oct 2020

Let's
build
something.

I'm always open to talking about robotics, research, internships, or creative collaborations. Send a message and I'll get back to you.

© 2026 Keshav Vasanth · All rights reserved