// Hello, I'm
Building ML systems for space, medicine, and astronomy.
01 / about
I'm an engineer working at the intersection of deep learning, computer vision, and space systems. My work spans medical imaging, radio astronomy, and satellite payload design — I build end-to-end pipelines from raw sensor data to trained models and deployed systems.
Currently serving as Payload Supervisor on the IGNIS CubeSat project, developing thermal infrared imaging systems for volcano monitoring from orbit. Alongside that, I work on deep learning models for brain CT hemorrhage segmentation and morphological classification of radio galaxies.
My background includes 7 years as a Data Recovery Engineer — which trained me to work methodically under uncertainty, analyze system-level failures, and care deeply about data integrity. I bring that discipline to every ML pipeline I build.
02 / projects
Role: Payload Supervisor
Designing the electro-optical payload for a volcano-monitoring CubeSat using a FLIR Boson 640 microbolometric camera. Work spans thermal IR radiometric modelling (SNR, NETD), optical system simulation in Zemax OpticStudio, and satellite payload hazard analysis.
Role: ML Engineer
U-Net segmentation pipeline for intracranial hemorrhage detection in CT scans. Core challenge is extreme class imbalance — addressed with custom loss functions (focal + Dice), targeted data augmentation, and windowing techniques optimized for CT HU ranges.
Role: CV Engineer
CNN classifier distinguishing FR0, FRI, and FRII radio galaxy morphologies from 50×50 greyscale images (~18,000 samples). Best model: plain CNN at train 87% / test 83%, outperforming ResNet and Optuna-tuned variants. Symmetry feature integration ongoing.
Role: RL Engineer
DQN-based reinforcement learning agent for EUR/USD trading using OHLC data. Custom state representation, epsilon-greedy strategy with separate action/SL/target selection, stop-loss logic where target = 2× SL, and maximum holding period constraint.
03 / skills
04 / contact
I'm open to collaboration on computer vision, medical imaging, radio astronomy, satellite payload engineering, and deep learning research. If you're working on something interesting — reach out.
↓ Download CV$ cat about.txt
Name: Seyed Ali Rashidi (Farid)
Location: Italy
Role: CV & ML Engineer
Status: Open to collaboration
$ cat interests.txt
- Satellite payload engineering
- Medical image analysis
- Radio astronomy ML
- Optical system design
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