name: Mehmet GΓΌmΓΌΕ
location: Istanbul, Turkey πΉπ·
current_roles:
- AI Trainer @ Invisible Technologies
- Founder & Developer @ Bilir.app
- Embedded SW Team Lead @ UKET (Volunteer)
philosophy:
- "Physics first, code second"
- "Simulate before you build"
- "Measure everything, assume nothing"
focus_areas:
- Aerospace & Defense Software
- AI/ML & LLM Training (RLHF)
- Real-time Physics Simulations
- Embedded Systems & Robotics
- 3D Visualization & WebGL
fun_fact: "I build rockets in software before they fly in reality π"
| Role | Organization | Period | Highlights |
|---|---|---|---|
| π€ AI Trainer | Invisible Technologies | 2025 - Now | LLM validation, RLHF, Turkish NLP |
| π Founder & Developer | Bilir.app | 2024 - Now | Flutter, OOP design, 6-person team lead |
| βοΈ Embedded SW Lead (Volunteer) | UKET | 2023 - Now | Rover systems, sensor fusion, C/C++ |
| π¬ Software Intern | TΓBΔ°TAK MAM | 2023 | DSP, VNA data, MATLAB/Python |
Liquid Rocket Engine Analysis & 6-DOF Flight Simulation
π¬ Matches NASA CEA 3.3.2 to within 0.05% (checked on every commit) β Gibbs minimisation over the NASA Glenn species set
π 6-DOF flight with RK4 or DormandβPrince, US Std. Atmosphere 1976, optional WGS-84/J2 rotating Earth β checked against NASA NESC cases
βοΈ Regenerative cooling (Bartz / Gnielinski), chamber contour with CSV/STL export, combustion acoustic modes
π― Barrowman stability, multi-stage sizing, dual-deploy recovery
π Parametric sweeps, design optimisation, planar MOC nozzle, Monte Carlo landing dispersion
π¦ Desktop app (pip install "ensim[gui]"), Python library & CLI, standalone builds for Windows/macOS/Linux
Real-Time Satellite Tracking & Orbital Analysis Platform
π Live catalog propagated in-browser with SGP4 β full catalog incl. debris with a Space-Track account
π 48-hour pass prediction with sunlit/dark visibility and a "Tonight" list of the ~150 brightest satellites
π‘ Doppler shift and per-pass curve for common downlinks or any frequency
β οΈ Close-approach screening and a decay estimate driven by NOAA space weather
ποΈ.icscalendar export, pass alerts, CSV/JSON ephemeris, time travel up to Γ1000
π± PWA, ISS 3D chase camera, sky view on phones, Turkish & English
Near-Earth Asteroid Simulator β Flybys, Impact Risk & Deflection
π°οΈ Real orbits from NASA/JPL (SBDB, CAD, Sentry) β no API key, cached for offline use
π¬ RK4 with adaptive step under the Sun, 8 planets and the Moon (VSOP87 Earth)
π― Apophis 2029 flyby within ~100 km and 20 s of JPL's close-approach data
π Monte Carlo impact probability from the JPL orbit covariance, with Torino & Palermo ratings next to Sentry
π₯ Kinetic impactor (DART-style Ξ²), ion beam shepherd and gravity tractor with target-plane preview
π English & Turkish, night/paper themes, command palette, Markdown reports & CSV export
Physics-Based Radar & Electronic Warfare Simulator with Operator Console
π‘ Swerling 0β4 detection with pulse compression, integration & CFAR loss β looks happen at the real revisit rate
π§οΈ ITU-R P.676 / P.838 / P.839 propagation, terrain masking, land/sea/rain clutter, MTI
π‘οΈ Electronic attack: noise jamming & burn-through, DRFM range/velocity gate pull-off, chaff & decoys
π― Track-while-scan: Hungarian assignment with ΟΒ² gates, Kalman/EKF filters, monopulse angles
π Coherent pulse-Doppler chain (LFM, MTI, Doppler FFT, CA/GO/SO/OS-CFAR) & range-Doppler SAR focusing
π§ͺ 421 tests against closed-form/published values β’ headless CLI β’ builds for Windows, macOS, Linux
Real-Time Electromagnetic Wave Simulator in the Browser (FDTD)
π 2D FDTD solver in Rust β WebAssembly (SIMD) running on its own Web Worker thread
π‘οΈ TM & TE, CPML boundaries reflecting β87 dB, mirror & periodic edges, TF/SF plane waves & Gaussian beams
β¨ Drude metals (silver, gold) with surface plasmons, dielectrics, PEC, phased-array sources
βοΈ Drawing tools, 8 probes with signal/spectrum/energy plots, 12 experiments (double slit, photonic crystal, zone plateβ¦)
π§ͺ Physics checked in CI against Fresnel reflection & energy conservation β’ PWA β’ share links, video export
Looking Under the Ice of Mars with Orbital Radar (SHARAD & MARSIS)
π°οΈ Reads real SHARAD radargrams from NASA PDS and simulates five MARSIS/SHARAD scenes from layered ice models
π Depth model with picked horizons, Dix RMS velocity and a temperature-dependent ice model
π§ Bright basal reflection detection with water / clay / clutter hypotheses and Monte Carlo uncertainty
π Incoherent Kirchhoff migration β’ experimental WebGPU waveform inversion with CPU fallback
π A-scope, polar track map, 3D curtain view, PDF/CSV export, offline β 100% client-side
Space Weather Dashboard Read Straight from the Instruments
π‘ Live L1 solar wind, Kp, GOES X-rays, DONKI CMEs, NOAA bulletins & OVATION aurora β no API keys
βͺ Replays five historic storms minute by minute (Halloween 2003 β¦ Gannon May 2024) with shareable deep links
𧲠Kp nowcast fitted on 20 years of OMNI data (RMSE 0.69) ⒠Shue 1998 magnetopause
βοΈ CME arrival with a drag-based model, shown next to CCMC's ENLIL run
π 3D SunβEarth view, aurora visibility for your location, English & Turkish, works offline
π ArtemisThermalBase v0.5 Β· Docs
Illumination & Regolith Temperature for Lunar Polar Terrain, on a Laptop
One lunar day over 79k LOLA facets around Shackleton in 9 min β’ NAIF DE440 Sun with penumbra β’ BVH raytracing β’ regolith column per facet β’ water-ice stability β’ PySide6 desktop app
βοΈ KAAN Experience Β· Live
Fan-made 3D Web Experience for the KAAN 5th-Gen Fighter
Interactive 3D model β’ Panoramic glass-cockpit HUD β’ Mannedβunmanned teaming (MUM-T) page
Full-Stack Turkish Lunar Mission Simulator
20+ REST API endpoints β’ Real-time 3D orbital mechanics β’ Integration testing
WebGL Missile Guidance & 6-DOF Simulation
RK4 physics integration β’ Proportional Navigation guidance β’ Real-time control loop
Interactive Geography Game Platform
Google Maps/Leaflet integration β’ XP/Level algorithms β’ Local caching optimization
| Principle | Description | |
|---|---|---|
| π― | Design First | Understand the problem before writing code |
| π¬ | Simulate | Physics-based models over black-box assumptions |
| π | Measure | Quantified uncertainty & error bounds |
| β‘ | Profile | Benchmark critical paths |
| π‘οΈ | Fail Safe | Graceful failure, never silent |
| Domain | Technologies |
|---|---|
| Physics | 6-DOF dynamics, RK4/Verlet integration |
| State Est. | Kalman Filter, EKF, UKF |
| Control | PID, Adaptive, Gain Scheduling |
| Analysis | Monte Carlo, Genetic Algorithms, Pareto |
| Guidance | Proportional Navigation, Missile dynamics |
| DSP | Monopulse tracking, Doppler, ECM |
Core Competencies:
- πΉ 6-DOF rigid body dynamics & kinematics
- πΉ Sensor fusion & calibration (SOLT method)
- πΉ Real-time control loop design
- πΉ Hardware-in-the-loop (HIL) testing mindset
- πΉ Monte Carlo uncertainty propagation
| Domain | Focus |
|---|---|
| LLM | RLHF, Evaluation pipelines, Hallucination analysis |
| ML | KNN, SVM, Decision Trees, Classification |
| Optimization | Genetic Algorithms, Multi-objective (Pareto) |
| Data | Feature engineering, Synthetic data generation |
| Area | Technologies |
|---|---|
| MCU | ESP32, Arduino, ARM Cortex-M, Raspberry Pi |
| Protocols | UART, I2C, SPI, CAN |
| Control | Adaptive PID, Gain Scheduling, Flight Controllers |
| Tools | Altium Designer, Logic Analyzer, RTOS concepts |
Highlights:
- πΉ Rover & robotic arm embedded architecture
- πΉ Motor driver control optimization (C/C++)
- πΉ PocketVNA signal processing
- πΉ FPV drone flight controller logic
π§ AI & Data Science
π Frontend & 3D
π» Backend & Desktop
βοΈ Embedded & Low-Level
π§ DevOps & Tools
| Certificate | Institution |
|---|---|
| π°οΈ Digitalisation in Aeronautics & Space | TUM (Technical University of Munich) |
| π‘ IoT Networking (Honors) | University of Illinois |
| π A Brief History of Human Spaceflight | University of Houston |
| π Astronomy: Exploring Time & Space | The University of Arizona |
| π» IT Essentials: PC Hardware & Software | Cisco Networking Academy |
| Skill | Level |
|---|---|
| π§ AI/ML & LLM | β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬ 95% |
| π Simulation & Physics | β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬ 97% |
| π» Full-Stack Dev | β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬ 90% |
| βοΈ Embedded Systems | β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬ 85% |
| π‘ Radar & DSP | β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬ 80% |
| π¨ 3D/WebGL | β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬ 90% |
| π± Mobile (Flutter) | β¬β¬β¬β¬β¬β¬β¬β¬β¬β¬ 85% |
| Language | Level |
|---|---|
| πΉπ· TΓΌrkΓ§e | Native |
| π¬π§ English | Intermediate (B1-B2) |
"First, solve the problem. Then, write the code." - John Johnson
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