// ALEJANDRO_ARTEAGA

> whoami

Alejandro Arteaga

Robotics & systems software engineer. I work on autonomous systems, edge AI, and the infrastructure that verifies them.

Currently an M.S. Computer Science (Intelligent Robotics) student at USC and a Software Infrastructure Intern on NVIDIA's Autonomous Vehicles V&V team. Background spanning underwater robotics, 5G modem testing automation, and computational physics.

Software Infrastructure Intern @ NVIDIA

Autonomous Vehicles — Verification & Validation (V&V)

Building software infrastructure for the Autonomous Vehicles Verification & Validation team — tooling and pipelines that exercise and validate AV software at scale.

  • Python
  • C++
  • CI/CD
  • Autonomous Vehicles
  • V&V

Software Engineer Intern @ Qualcomm

Modem Software — 5G Access Stratum Automation, Integration & Test

Developed automation for 5G Access Stratum modem software integration and test, streamlining validation workflows for the modem software team.

  • Python
  • 5G
  • Automation
  • Integration & Test
  • Jenkins

Robotics Software Engineer @ CMU TartanAUV

Autonomous Underwater Vehicle Team

Developed software for Carnegie Mellon's autonomous underwater vehicle — perception, controls, and mission autonomy on a ROS-based robotics stack.

  • C++
  • ROS
  • Robotics
  • OpenCV
  • Controls

Software Engineer Intern @ National Instruments

Telemetry Squad

Contributed to the Telemetry Squad, building and improving telemetry data collection and tooling for NI's software platform.

  • Python
  • Telemetry
  • Software Engineering

Scientific Computing Research Assistant @ CMU Physics — Neutrino Group

Carnegie Mellon University

Supported neutrino physics research with scientific computing — data pipelines and numerical analysis for experimental physics workloads.

  • Scientific Computing
  • Python
  • HPC
  • Data Analysis

University of Southern California

M.S. Computer Science — Intelligent Robotics

USC Viterbi School of Engineering

Expected graduation.

Carnegie Mellon University

B.S. Physics / Astrophysics, Minor in Computer Science

Pittsburgh, PA

Multimodal GenAI Nutrition Assistant

★ FEATURED

AUTOMATION

On-device multimodal generative-AI personal nutrition assistant using local inference and retrieval-augmented generation (RAG). Built at the Qualcomm Edge AI Hackathon to run entirely on edge hardware.

  • Python
  • GenAI
  • RAG
  • On-Device Inference
  • Edge AI

DLIO Edge Optimization

★ FEATURED

ROBOTICS

Performance analysis and optimization of Direct Lidar-Inertial Odometry (DLIO) for edge computing, profiled and benchmarked on the NVIDIA Jetson AGX Orin to improve real-time SLAM throughput on resource-constrained hardware.

  • C++
  • ROS
  • SLAM
  • LiDAR
  • CUDA
  • Jetson
  • Edge Computing