Frontier
Systems Stack
The systems, frameworks, and intelligence layers behind my engineering work.
I build across robotics, artificial intelligence, aerospace systems, embedded hardware, and autonomous infrastructure. This stack represents the tools, frameworks, and platforms used to design, simulate, and deploy real-world systems — not demo applications.
INTELLIGENCE SYSTEMS (AI CORE)
6 toolsPlugging LLMs into products / think, reason, respond like humans.
Autonomous digital workers / plan, execute, deliver without hand-holding.
Machines that see / interpret / act on visual data in real time.
Retrieval-augmented generation / grounding AI in your data / your documents.
AI that weighs tradeoffs / makes split-second smart choices alone.
Models that understand text / images / audio / video — all at once.
AUTONOMOUS SYSTEMS (ROBOTICS CORE)
6 toolsRobots that think / move / work without human input.
Drones that navigate / avoid / deliver with zero piloting.
Commanding rugged rovers / remote or autonomous / any terrain.
Intelligence squeezed onto chips / real-time inference / low power.
Lidar / cameras / IMU merged into one flawless world model.
Map / plan / move — self-driving logic from A to B safely.
SOFTWARE INFRASTRUCTURE
6 toolsPrompt design, function calling, structured outputs, embeddings.
Primary for cost-sensitive draft generation (used in LeadSniper).
For agent loops and retry-aware chains — not for simple prompts.
Vector search + retrieval over domain docs, not generic wrappers.
Google Cloud STT for non-English; Whisper for offline contexts.
AWS / GCP / Azure — deploy globally / scale infinitely / sleep peacefully.
Infra & DevOps
4 toolsDefault host for Next.js work. Preview deploys on every PR.
Tests, builds, and deploys — everything that shouldn't be manual.
Used where the client already lives; not my default for greenfield.
Headless browsers for scraping, e2e tests, and visual diff.
Currently Learning
ROS 2
Building advanced autonomous robots with real-time communication, navigation, and system coordination.
Physical AI
Training intelligent machines to perceive, reason, and interact with the physical world.
Aerospace Systems
Expanding capabilities in UAV engineering, autonomous flight, and mission-critical systems.
Edge AI
Running intelligence directly on robots and embedded systems for real-time decision making.
Digital Twins
Creating simulation environments to test and optimize systems before deployment.
Multi-Agent Systems
Coordinating fleets of robots, drones, and AI agents to operate as a unified autonomous network.
Advanced Energy Systems
Exploring next-generation power architectures for autonomous machines and future infrastructure.
Planetary Robotics
Designing exploration systems capable of operating in extreme and extraterrestrial environments.
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on your team?
Every system here has been tested, integrated, and shipped across real robotics, AI, and autonomous engineering projects. Nothing is theoretical — it’s already in motion in working systems.
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