Bridging Artificial Intelligence with the physical world through Robotics, Autonomous Systems, Embedded Computing, Aerospace Engineering, and Intelligent Software.
I build systems that perceive, reason, and act in the physical world.
My work lives at the boundary where machine intelligence meets hardware, autonomous aircraft that hold their position without GPS, edge devices that run neural inference with no link to the cloud, and control software that turns raw sensor streams into decisions in milliseconds. I treat intelligence as an engineering discipline: designed against real constraints, power budgets, latency ceilings, and the unforgiving physics of flight, then measured, hardened, and deployed.
The throughline is autonomy: machines that understand their environment and close the loop between perception and action without a human in it. Models that fly. Inference that runs at the edge. Software that holds up outside the lab.
I engineer intelligent systems end to end, from neural architecture and computer-vision pipelines, through sensor fusion, SLAM, and flight control, down to embedded firmware and cloud telemetry. The work fuses artificial intelligence, machine learning, robotics, autonomous systems, embedded computing, data engineering, and aerospace technology into platforms that operate reliably in the real world.
engineer:
focus: Intelligent Autonomous Systems
domains: AI · Robotics · Computer Vision · Embedded · Aerospace
building: Autonomous UAVs · Edge-AI devices · Real-time perception
researching: GPS-denied navigation · Drone perception · Offline LLMs
approach: Intelligence engineered against real-world constraints|
Onboard perception, planning, and GPS-denied navigation for aircraft that fly themselves where satellites can't reach. |
Running optimized neural models on constrained hardware, quantized inference at the edge, offline and in real time. |
Private, on-device reasoning, language models and RAG that run with no cloud dependency and no data leaving the device. |
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Also working across: GIS · Remote Sensing · Automation · Research & Development
Tiered honestly, Core (build with daily) · Working Knowledge (productive) · Currently Learning (actively leveling up) · Research Interest.
Languages
Core
Currently Learning 
Artificial Intelligence & Machine Learning
Core
Currently Learning 
Research Interest Multi-Agent AI · Distributed AI · Edge AI · Embedded AI · AI Infrastructure · Inference Optimization
Software Development
Core
Working Knowledge 
Databases
Core
Working Knowledge 
Cloud & DevOps
Robotics & Embedded
Development Tools
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Deep-tech venture · Autonomous aerial systems Founder-led venture building autonomous drone platforms for logistics, inspection, and defense, uniting flight control, onboard AI perception, and cloud fleet management into one stack.
Domain: Autonomous Systems / Aerospace Architecture: Modular flight stack · onboard inference · fleet telemetry |
End-to-end aerial logistics Autonomous payload delivery with mission planning, real-time obstacle avoidance, precision landing, and a ground-control telemetry dashboard.
Domain: UAV Systems / Path Planning Architecture: Waypoint autonomy · vision-guided landing · live telemetry |
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Navigation without satellites Visual-inertial navigation for stable flight where GPS is jammed or unavailable, fusing SLAM, optical flow, and inertial data for onboard position estimation.
Domain: Autonomous Navigation / Defense Tech Architecture: VIO pipeline · onboard SLAM · drift-corrected localization |
AI for agriculture Decision-support platform delivering crop, disease, and advisory intelligence to farmers through computer vision and ML on accessible hardware.
Domain: Applied AI / Computer Vision Architecture: Disease detection · advisory engine · low-resource inference |
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IoT-secured last-mile delivery Connected locker network with secure OTP access, real-time status, and cloud sync, designed to dock with autonomous delivery endpoints.
Domain: IoT / Cyber-Physical Systems Architecture: Secure access control · cloud sync · live monitoring |
Vision-based site compliance Real-time computer-vision system detecting PPE compliance, hazard zones, and unsafe behavior on construction sites, with instant alerting.
Domain: Computer Vision / Safety Systems Architecture: PPE detection · zone-intrusion alerts · edge deployment |
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Sensor-driven quality intelligence Embedded sensing for freshness and storage conditions, streaming telemetry to the cloud with anomaly alerts.
Domain: IoT / Embedded Systems Architecture: Multi-sensor fusion · anomaly alerts · cloud dashboard |
Private, on-device intelligence Fully offline assistant running local LLMs with speech and RAG, no cloud dependency, full data privacy.
Domain: Edge AI / Offline LLM Systems Architecture: Local inference · voice I/O · private RAG knowledge base |
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Production travel platform Full-stack, performance-tuned travel and tourism platform with a polished, animated, responsive experience.
Domain: Full-Stack Engineering Architecture: Animated UI · responsive design · optimized delivery |
Research → prototype → product Active work in multi-agent systems, drone perception, and edge intelligence. Explore: github.com/Andy-XO |
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◆ NOW Founder & CEO, VoltAeroTech · autonomous aerial systems
│ Researching GPS-denied navigation & drone perception
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◆ BUILDING Drone Systems Intern, UAV flight, integration & field testing
│ Patent filed · peer-reviewed research published
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◆ PROVING Hackathon Winner · multiple-time Finalist
│ First autonomous systems shipped end to end
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◆ FOUNDATION Computer Engineering, Artificial Intelligence specialization
VoltAeroTech, internship, and education details, exact dates can be added inline above.
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Patent Holder, Autonomous / Drone Systems Filed intellectual property in autonomous aerial technology. |
Peer-Reviewed Research, AI / Autonomous Systems Published research at the intersection of AI and autonomy. |
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I collaborate on AI, robotics, autonomous systems, aerospace, and deep-tech, autonomy, perception, embedded intelligence, and systems that operate in the real world.
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⭐ Andy-XO, building intelligent systems that touch the real world.