ECE Honors · UT Austin

Aditya
Pulipaka

I thrive at the intersection of hardware and software, with experience in embedded systems, robotics, controls, and computer vision. I'm actively seeking interesting, multifaceted roles in these areas.

Currently: Embedded SWE Intern @ Qualcomm · Lev Subteam Lead @ Guadaloop
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Aditya Pulipaka ⤢ Closer look
01 — About

I'm an ECE Honors undergraduate at UT Austin who likes problems that don't fit neatly into "hardware" or "software." I've written OS-level drivers at Qualcomm, shipped flight-control, maintenance, and testing software at Bell Flight, built a LiDAR SLAM localization stack with the UT Dallas NOVA team, and architected prototyping, testing, and control solutions at Texas Guadaloop.

What drives me is seeing my work come to life in realistic scenarios. I've done this through building closed-loop control systems on real hardware, bringing up computer vision systems that function in practical spaces, and working on multiple sensor-fusion projects that solve real problems. I care about systems that are fast, robust, and honest about their limits.

Based in
Austin, Texas
Focus
Embedded · Robotics · Controls
Education
BS ECE Honors, UT Austin '28
Languages
English · Telugu · Spanish
02 — Toolkit

Skills

Tap any skill to see the projects and courses where I put it to use.

Embedded & Low-level
Embedded C / C++ARM AssemblyDevice DriversGPIO · UART · USBBLEMemory & Power MgmtArduino
Robotics, Controls & Autonomy
ROSComputer VisionControl SystemsMachine LearningSignal ProcessingMotor ControlLiDAR · RadarSensor FusionKalman FilteringVisual Odometry
Software & Languages
C/C++PythonC#JavaVerilogMATLAB / SimulinkDockerFastAPI
Hardware, Vision & Sim
PCB DesignSolidWorks · Fusion 360Ansys / FEA3D PrintingMachine LearningSignal Processing
03 — Selected Work

Things I've
built

A mix of research, internships, and hackathon wins. The Guadaloop rig and RescueVision both have live, scroll-driven 3D walkthroughs.

Guadaloop levitation test rig CAD render 3D

Guadaloop Levitation Test Rig + Sim Env

A magnetic levitation test rig I lead development on. Built the control stack from hand-tuned PID up toward a FEA+PyBullet sim-based pipeline. Working to make levitation scalable.

ControlsEmbeddedCAD / WebGLReinforcement Learning
Open the 3D walkthrough →
RescueVision team at StarkHacks 3D

RescueVision

🏆 1st · StarkHacks

An mmWave + UWB system that locates victims through walls and renders them in a first responder's own AR frame. Won Analog Devices' Sensor Fusion track at Purdue's StarkHacks.

mmWave RadarSensor FusionEmbedded
Open the 3D walkthrough →
SmartPT team winning the Healthcare track at Nexhacks 3D

SmartPT

🏆 1st · Nexhacks

A PT app fusing CV-based pose estimation with an optional 2-IMU brace via an EKF for recovery tracking. Won the Healthcare track at CMU's Nexhacks.

FlutterEKFSensor Fusion
Open the 3D walkthrough →
BlindMaster smart-blinds hub model render 3D

BlindMaster

Full-stack IoT smart blinds — XIAO ESP32-C6 using FreeRTOS, Express backend, and a Flutter app, with an end-to-end user experience.

ESP32-C6EmbeddedFull-stack
Open the 3D walkthrough →
TweinStein autonomous racer between track barriers

TweinStein

🏆 1st · ECE445M Final Race

An autonomous racer on a custom RTOS — PD wall-follower with optional RL residual control + custom heuristic-based overtaking state machine. Won the ECE445M final race. (I developed the PD controller and classical logic, and we won without an RL model 👀)

RTOSRoboticsControls
Read case study →
LiDAR SLAM point-cloud localization

LiDAR SLAM & Localization

A LiDAR SLAM + map-based localization pipeline for UT Dallas NOVA's autonomous vehicle, built on KISS-ICP / Open3D. Fused ICP with feature matching for sub-5 cm accuracy in CARLA.

ROS2C++ / PyBindSLAM
Read case study →
Harmonium browser instrument with hand tracking

Harmonium

Most Risky · TVG

A browser-based instrument simulator with hand tracking so you can see and hear yourself play (even learn!) without buying or making a trip to a store. "Most Risky Hack" at the TVG Vibeathon.

WebComputer VisionAudio
Read case study →
04 — Experience

Where I've
worked

Embedded software, robotics research, and controls — across industry, university labs, and student engineering teams.

May 2026 — Present · San Diego, CA

Embedded Software Engineer Intern · Qualcomm

Windows on Snapdragon. Extending device drivers to handle multiple clients and building a testing framework for the sensor suite. Driver/OS-level work.

Jan 2026 — Present · Austin, TX

Computer Vision Researcher · UT Austin AMRL

Built ROS2 system using the Spinnaker SDK to pull frames over limited bandwidth from FLIR Blackfly S GigEVision cameras, correlate keypoints from multiple views, and output global pose estimates for people and obstacles in a space. Now working toward a markerless multi-camera calibration pipeline using humans as calibration targets.

Dec 2025 — Present · Austin, TX

EM Levitation Subteam Lead · Texas Guadaloop

Leading development of our control-algorithm and a repeatable formula for the HEMS levitation success.

Jun 2025 — Aug 2025 · Arlington, TX

Embedded SWE Intern, 525 Flight Control Systems · Bell Flight

Resolved 5+ software problem reports across FCS code and low-level tests; built a Python tool that migrated ~1000 high-level tests and comms databases between environments, saving an estimated 6–12 months of manual work. Resolved 13 key issues with .NET windows app, gaining comfort with .NET C# code using WPF.

May 2025 — Aug 2025 · Dallas, TX

Autonomous Driving SWE · UT Dallas NOVA

Built the LiDAR SLAM + map-based localization stack (Open3D / KISS-ICP), reaching sub-5 cm localization accuracy via combined ICP and feature matching.

Sep 2024 — May 2025 · Austin, TX

Software Team · Stampede — UT Austin RoboMaster

Monocular localization pipeline for the Sentry robot using OpenCV SolvePnP on standardized markers; tested odometry methods for tighter positioning including dead-wheel and encoder.

2023 — Earlier

Earlier: Articulate Labs · UT Southwestern (Takahashi Lab) · Motorheads Robotics

Product-dev intern on the KneeStim rehab device; circadian-rhythm biochemistry research; and co-captain of a state-championship-debut FTC robotics team.

"Aditya is a pleasure to work with and has excellent engineering skills… he developed full software-lifecycle solutions for our flight control computer software, exhibited agile thinking, and took initiative to suggest and implement additional improvements."

— Steve Feenstra, Flight Controls Software Lead / Staff Software Engineer, Bell Flight
05 — Honors

Recognition

Standardized Tests
1590/1600 · SAT
1520/1520 · PSAT
06 — Coursework

What I've
studied

ECE Honors coursework at UT Austin — embedded systems, computing, signals & circuits, and the underlying math.

Embedded + Real-Time Systems
ECE445MEmbedded & Real-Time Systems Laboratory (RTOS)Spr '26
ECE319HIntro to Embedded Systems (Honors)Spr '25
Computer Architecture & Digital Logic
ECE460NComputer ArchitectureFall '25
ECE316Digital Logic DesignSpr '25
Electrical Engineering & Circuits
ECE411HCircuit Theory (Honors)Fall '25
ECE302Intro to Electrical EngineeringFall '24
Signals & Applications Thereof
ECE385JNeural EngineeringSpr '26
ECE313HLinear Systems & Signals (Honors)Fall '25
Software & Computing
COE379LSoftware Design for Responsible Intelligent SystemsFall '25
CS309Quantum Computing I (FRI)Spr '25
ECE312HSoftware Design & Implementation I (Honors)Spr '25
ECE306Introduction to ComputingFall '24
Mathematics
M340LMatrices & Matrix CalculationsFall '25
M325KDiscrete MathematicsSum '25
M427JDifferential Equations w/ Linear AlgebraSpr '25
M427LMultivariable Calculus (Honors)Fall '24
Communication & Innovation
ECE333TEngineering CommunicationSpr '26
MAN327Innovation & EntrepreneurshipSpr '26

Foundational calculus, engineering physics, and university core requirements were cleared through AP and transfer credit (26 hours).

07 — Contact

Let's build
something

adipu@utexas.edu