About Techkyman

AI Automation Specialist & Software Engineer — bridging the physical and digital worlds through 9+ years of turning complex problems into elegant, intelligent systems.

Where Software Meets Hardware

My mission is to close the gap between complex engineering and elegant execution — turning ideas into working systems, from firmware to full-stack, with AI as a native part of the process.

Robotics & Embedded Builds
9+ Years Engineering Experience
AI-Assisted Engineering
Full-Stack Platforms
3 Disciplines: Software, Hardware, AI

Engineering Systems That Actually Ship

What started as writing firmware for a single ESP32 board has grown into building full autonomous systems — hexapods with custom inverse-kinematics engines, vision-guided robot arms, and AI-assisted engineering workflows that take a project from spec to shipped feature in a single sitting.

My goal is simple: treat software, hardware, and AI as one continuous system — not three separate disciplines — and build things that are reliable enough to trust and interesting enough to share.

0 Years of Engineering Experience
0 Core Disciplines
0 Projects Shipped
0 AI-Assisted Engineering Workflow

Engineering Principles

The standards behind every build, every line of code, and every system I ship.

Build Fast
Iterate with Precision
Leverage AI Natively
Reliable Hardware-Software Bridges

Tech Stack Breakdown

Laravel 85%
Git 90%
Livewire 82%
Docker 70%
JavaScript 75%
Oscilloscope / Multimeter 75%
Tailwind CSS 80%
Soldering / Rework 85%
C / C++ 90%
Inverse Kinematics 80%
ESP-IDF 85%
ROS2 60%
Arduino Framework 90%
Motor Control (Stepper/Servo) 88%
FreeRTOS 75%
CAD (Fusion 360) 78%
PCB Design (KiCad) 65%
3D Printing (FDM) 85%
Python 88%
PyTorch 65%
Computer Vision (OpenCV) 75%
LLM Integration 80%
Local Inference (llama.cpp) 70%

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