Computational engineering. Parametric CAD. Physics simulation. Visual identity systems.
Built by Rizky "Kiki" Meilandi Saputra — Hybrid Architect from South Tangerang, Indonesia.
Precision without aesthetic intention leaves a system incomplete.
Aesthetic vision without structural integrity leaves it unreliable.
This repository builds at the convergence of those two requirements. Every project here follows one standard: a system is not finished until it holds under pressure and reads as intentional.
Each folder is documented as a standalone mini-project with the same structure: what it is, context, output, how to run or view it, interesting technical details, stack, files, and a closing note.
| Project | Domain | Result | Folder |
|---|---|---|---|
| Fractal Visualizer | Mathematical visualization | 1200×900 Mandelbrot render with smooth coloring | fractal-visualizer/ |
| VTOL Drone Parameter Calculator | Aerospace / multirotor sizing | 12.5 kg hexacopter feasibility sheet, ~10.5 min corrected hover estimate | vtol-calculator/ |
| VTOL Motor Arm | Parametric CAD + render pipeline | 13-variable Onshape model, STEP AP242 export, Blender Cycles render | vtol-motor-arm/ |
| Magnetic Linear Accelerator Simulation | Electromagnetic physics simulation | 122.57 m/s final velocity, 39.1% simulated energy efficiency | mag-accelerator-sim/ |
Mandelbrot set visualization demonstrating deterministic chaos through a custom Neo-Classical palette: black interior, deep red boundary compression, gold mid-range escape, and white fast-escape field.
Highlights
- Vectorized NumPy computation over a 1200×900 grid
- Smooth-coloring renormalization to remove iteration banding
- Custom 4-stop colormap tuned for boundary density
- Cross-platform output path and project-level README
Stack: Python 3.10+ minimum (developed on 3.14), NumPy, Matplotlib
Folder: fractal-visualizer/
Interactive command-line calculator for VTOL firefighting multirotor sizing. It estimates thrust per motor, hover current draw, theoretical endurance, real-world corrected endurance, TWR compliance, and operating-boundary warnings.
Reference configuration
Total drone weight : 12.50 kg
Motors : 6
Battery : 44.4 V / 22000 mAh
Propeller : 15 inches
Target TWR : 2.2 : 1
Estimated hover : 12.8 min theoretical / ~10.5 min real-world corrected
TWR compliance : PASS
Highlights
- Zero dependencies — pure standard library
- Clean phase separation: input → validation → calculation → render
- Formula-rich terminal output that doubles as an engineering reference sheet
- Constants block keeps assumptions visible and adjustable
Stack: Python 3.10+ minimum (developed on 3.14), standard library only
Folder: vtol-calculator/
Fully parametric motor arm for VTOL drone applications. Thirteen named Onshape variables drive the geometry: cross-section, hollow shell, motor boss, bolt pattern, internal ribs, wire bore, fillets, and chamfers.
Highlights
- Current motor interface: 38 mm boss / 16 mm BCD
- Alternate validation configuration: 45 mm boss / 19 mm BCD
- Public Onshape model linked from the project README
- STEP AP242 export for cross-CAD compatibility
- Blender Cycles render pipeline with scripted material, lighting, and camera setup
Stack: Onshape, STEP AP242, Blender 5.1 Cycles, Python render script
Folder: vtol-motor-arm/
Numerical physics simulation of a three-stage magnetic linear accelerator. The project models finite-solenoid field geometry, underdamped RLC capacitor discharge, magnetic force coupling, RK4 projectile dynamics, multi-stage chaining, and trigger-spacing optimisation.
Final simulated result
v_final = 122.57 m/s
Total ΔKE = 375.6 J of 960 J
η_total = 39.1%
Crossover = 283.9 mm minimum viable stage spacing
Highlights
- Six conceptual physics steps implemented across five Python modules
- Analytical verification before rendering field, circuit, and dynamics plots
- Stage-spacing sweep explains the jump from 67.88 m/s to 122.57 m/s
- Explicit explanation of the Stage 2
101.4%spatial attribution artifact - Safety/scope note included: simulation only, not a hardware build guide
Stack: Python 3.10+ minimum (developed on 3.14), NumPy, Matplotlib
Folder: mag-accelerator-sim/
All projects in this repository use the Neo-Classical Engineering aesthetic system:
| Element | Value | Role |
|---|---|---|
| Background | #0a0a0a |
black technical field |
| Primary | #f5f0eb |
warm white text |
| Accent | #8b0000 |
deep red signal / warning / rose |
| Metal | #c9a84c |
gold titles and technical highlights |
| Secondary metal | #b8c1c8 |
silver instrumentation |
| Code font | JetBrains Mono | technical voice |
Vintage soul. Modern precision.
| Domain | Tools |
|---|---|
| Programming | Python 3.10+ minimum (developed on 3.14) |
| Numerical computing | NumPy |
| Visualization | Matplotlib |
| CAD | Onshape |
| Rendering | Blender Cycles, Python bpy scripting |
| Design | Canva, custom SVG / PNG visual systems |
| Documentation | Markdown, GitHub README system |
LinkedIn: linkedin.com/in/rizky-m-b4904838a
Email: rizky.meilandi007@gmail.com
Location: South Tangerang, Indonesia
Open to: Remote and hybrid roles — Indonesia and international
This repository is actively maintained. Projects are added as they are built, not before.