Roles

I design and build intelligent systems with a focus on robustness, scalability, and real-world impact.

Explore my projects and CV, or reach out to discuss collaboration.

01

About Me

Robotics Software Engineer with hands-on experience developing autonomous ground vehicle (AGV) systems, perception pipelines, ROS2 applications, simulation environments, and GPU-accelerated deployments. Strong background in C++, Python, computer vision, LiDAR/radar sensor processing, and production robotics workflows. Proven ability to improve system performance, build internal tools, and support real-world robotic operations. Seeking robotics, autonomy, perception, or simulation engineering roles.

02

Technical Skills

Languages C++, Python, JavaScript, SQL, C#

Robotics ROS2, Gazebo Sim, RViz2, rosbag, TF, AGV Systems, Robot Telemetry

Perception YOLOv11, OpenCV, PCL, LiDAR Point Clouds, Radar Data Processing

Deployment/Tools Docker, CUDA, Linux, Git, Jira, Epsilon3

Web/Systems Tools HTML, CSS, Next.js, FastAPI, Express

Data pandas, NumPy, PostgreSQL, MySQL

03

Work Experience

Robotics Engineer · Essential Aero Inc.

2024 – 2026

  • Optimized LiDAR and radar point cloud processing workflows for autonomous ground vehicles using C++ and PCL.
  • Developed a YOLOv11-based human-tracking pipeline to support AGV relocation and human-aware robot behavior.
  • Built and optimized CUDA-enabled Docker containers for deploying GPU-accelerated perception models in production-like environments.
  • Simulated, validated, and debugged robotic software workflows using ROS2, Gazebo Sim, RViz2, and rosbag data.
  • Optimized a multithreaded ROS2 data parser, achieving an 800% improvement in processing efficiency.
  • Developed browser-based internal tools for AGV configuration and control using HTML, JavaScript, and CSS.
  • Performed system validation, issue triage, and defect reporting using Jira and Epsilon3.

Software Engineer Intern · Genasys Inc.

Summer 2023

  • Developed automation workflow for creating bootable USB drives, reducing manual setup time and improving engineering workflow efficiency by 50%.
  • Identified, reproduced, and documented software bugs for internal engineering teams using Jira.
  • Assisted hardware validation efforts for custom test cables using certified diagnostic tools.
  • Standardized internal testing procedures through clear technical documentation and repeatable instructions.

Test Engineer Intern · Genasys Inc.

Summer 2022

  • Developed a GUI-based Python application using Tkinter, NumPy, and pandas to generate test parameters from internal company data, improving test accuracy by 10%.
  • Built a C# Windows Forms application to control an Audio Power Board via USB.
  • Contributed code changes through Gitflow and Bitbucket workflows.
  • Coordinated with distributed engineering teams through Slack-based technical collaboration.

04

Projects

Camera-Based Human Tracking and Following Algorithm for Mobile Robots

Autonomous ground vehicle (AGV) following system using CNNs and Range Imaging

View Project
EssentialAero fleet monitoring dashboards on desktop, laptop, and phone

Fleet Monitoring App

Real-time operator console for monitoring and controlling fleets of autonomous ground robots

View Project
Flowchart: LiDAR ROI preprocessing, plane segmentation with RANSAC, and proceed versus stop decision logic

LiDAR-Based Detection of Planar Surfaces for Robotic Process Monitoring

LiDAR-based system for detecting and analyzing planar surfaces in industrial environments to enable precise robotic process monitoring and quality control

View Project

05

Education

B.S. Data Science · University of California, San Diego

2021 – 2024

  • Focus on machine learning and artificial intelligence.
  • Senior project on “Deep Learning in Autonomous Vehicles”.

06

CV

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