Abel Mendoza

Software & Robotics Engineer

I like writing code for the web, electronics and embedded systems, and tinkering with robotics.

When I'm not coding I like aggressively cuddling others on the jiu jitsu mat, reading, and educating myself.

Skills & Technologies

Core autonomous systems competencies, tooling, and embedded platforms.

Python

C++

Bash

Git

Docker

QGroundControl

ROS2

PX4

Grok

Skills

Frontend Development

React/Next.js

JavaScript/TypeScript

CSS/Tailwind

Backend Development

Python/Flask

Node.js/Express

Go/Rust

Mobile & Robotics

Swift/iOS

ROS/Robotics

C++/Embedded

Featured Work

Project Showcase

In this video, I'm showcasing my Ω1 robot. Check out my YouTube channel for more robotics videos.

Projects

Here are some of my projects, you may like.

Omega-Code Robot

Omega-Code is a comprehensive robotics control system featuring frontend and backend components for seamless integration and robust performance.

🤖 Real-time Control 📡 WebSocket Communication 📊 Multi-sensor Dashboard 📹 Live Camera Feed

Frontend: TypeScript, React, Redux, Next.js, TailwindCSS, SASS
Backend: Go, Python, Rust
Features: Real-time control, command logging, WebSocket communications
Tooling: Shell scripting for robot setup and connectivity

Live Demo See Code

PX4 Autonomous Missions — Gazebo Harmonic + MAVROS2

Autonomous UAV mission stack using PX4 v1.15+, Gazebo Harmonic, MAVROS2 (ROS 2 Humble), and MAVSDK-Python. Includes a custom obstacle world with 5 static obstacles for avoidance simulation, a lawnmower scan mission, and full QGroundControl integration.

🚧 5-Obstacle Avoidance World 📡 MAVROS2 + ROS 2 🗺️ QGroundControl 🌍 Full SITL Simulation

Custom Gazebo Harmonic world (obstacle_world.sdf) with 5 static obstacles; obstacle_avoidance.py routes 8 pre-planned waypoints around all obstacles at 20 m altitude with ≥5 m lateral clearance
Lawnmower scan mission (3×3 grid, 9 waypoints, ~20 m step) and fly.py basic test script; post-flight telemetry logged to timestamped CSV and visualized with plot_flight.py
Stack: PX4 v1.15+, Gazebo Harmonic (gz-sim 8.x), ROS 2 Humble, MAVROS2, MAVSDK-Python 2.0+, QGroundControl, Ubuntu 22.04

See Code

Jetson RealSense Perception

Embedded RGB-D perception toolkit for NVIDIA Jetson Orin Nano and Intel RealSense D455. Supports standalone pyrealsense2 workflows and ROS2 Humble integration, validated on Ubuntu 22.04 / JetPack L4T 36.4.7.

🟦 NVIDIA Jetson Orin Nano 📷 Intel RealSense D455 🛠️ librealsense 2.0 (RSUSB) 🐢 ROS2 Humble

Standalone scripts: capture, camera info probe, obstacle detection, point clouds, IMU, occupancy mapping
ROS2 wrapper validation: realsense2_camera launch, topic sanity, camera_info intrinsics, topic publishers
Documentation + onboarding: hardware setup, software setup, ROS2 setup, troubleshooting, validation checklist
Full validation: rs-enumerate-devices and check_realsense.py; depth/color streaming capture; ROS2 topic and intrinsics checks

See Code

Titan Rover — Autonomous Navigation

Group project with the Titan Rover university club — a team of Cal State Fullerton engineering students. Built and contributed to an autonomous rover using ROS, OpenCV, and sensor fusion for real-world terrain navigation and obstacle avoidance.

🤖 ROS 👁️ OpenCV 📡 Sensor Fusion 🗺️ Autonomous Navigation

Autonomous terrain navigation with real-time obstacle detection using OpenCV
Sensor fusion pipeline integrating camera, IMU, and encoder data
ROS-based architecture with custom nodes for perception and motion planning

▶ Watch Video Titan Rover Club

LoreBook — AI Memory & Narrative Intelligence System

A full-stack AI memory system that converts journal data into a structured narrative knowledge graph using hybrid retrieval, engine orchestration pipelines, and behavioral analytics.

🧠 AI Orchestration 🔎 Hybrid Retrieval 📊 Narrative Analytics ⚡ Performance Optimization

Full-stack system with TypeScript, Node.js, Express, React, Supabase/PostgreSQL.
Custom engine orchestration layer with ~30 analysis modules, dependency-aware DAG scheduling, and parallel execution.
Hybrid RAG pipeline: OpenAI embeddings + PostgreSQL vector search + BM25 + entity boosting, temporal weighting, MMR reranking.
Structured autobiographical memory graph storing entities, relationships, events, and timelines.
Continuity analytics engine detects contradictions, emotion arcs, identity drift, and behavior patterns.
Performance: embedding caching, year-shard indexing, TTL result caching, query pruning.
Production engineering: Vitest tests, security middleware, CI/CD workflows, structured logging.

Live Demo See Code

MacGuardian Watchdog

A comprehensive macOS security suite featuring system hardening, threat detection, AI/ML analysis, and automated remediation. Enterprise-grade security tools for personal and small business use.

🔒 Security Suite 🛡️ Threat Detection 🤖 AI/ML Analysis ⚡ Auto-Fix

System hardening: SIP monitoring, Gatekeeper verification, FileVault encryption
Real-time threat detection: Process monitoring, network analysis, malware scanning
AI/ML-powered security analysis with behavioral pattern recognition
File integrity monitoring with automated incident response
Tech Stack: Shell, Python, Swift (macOS native app)

See Code

Contact

Feel free to contact me on my social media.