Satellite & Geospatial Software Engineer | MSc Satellite Systems Engineering | RF, DSP & Applied AI in Remote Sensing
I bridge advanced software engineering with satellite systems and AI-driven geospatial analysis.
From RF front-ends and link budgets to cloud-native raster pipelines and remote sensing ML, I build systems that scale — both in orbit and on the ground.
- 🛰️ MSc Satellite Systems Engineering (UK, 2025)
- 👨💻 Python backend specialist (FastAPI, CI/CD, AWS)
- 🤖 Remote sensing AI: self-supervised pretraining & flood mapping (SatMAE)
- 📡 RF/DSP prototyping with MATLAB, GNU Radio, SDR (ADALM-PLUTO, USRP)
- Software & Cloud: Python, FastAPI, Docker, Terraform, AWS (S3, ECS/EKS, Lambda, SageMaker), GitHub Actions
- Geospatial & AI: Rasterio, xarray/rioxarray, Dask, GDAL, STAC, COG, Zarr, TensorFlow/Scikit-learn
- RF & DSP: MATLAB/Simulink, GNU Radio, link budgets, modulation/classification, antenna design & testing
- Datastores: Postgres/PostGIS, S3, GeoParquet
- 🌊 Few-Shot Flood Delineation → Cloud-native Sentinel-2 flood mapping pipelines with SatMAE pretraining + FastAPI inference 🔗
- MSc Satellite Systems Engineering — University of Bradford, UK
- BSc — EIT
📜 Certified: MATLAB Proficiency | STK Level 1
- Delivered production-grade remote sensing services with Python & AWS
- Operationalised AI-driven climate risk models at scale
- Designed end-to-end satcom models and SDR prototypes for lab validation
- Experienced in academic lecturing & project supervision in software and ML systems
📫 Reach me at: finanwmkl@gmail.com
🌍 London, UK | Open to relocation | GitHub
✨ Exploring the intersection of space systems, advanced software engineering, and applied AI for Earth observation.