I'm Parsa!
Welcome to my GitHub! I'm a developer, researcher, and educator passionate about the intersection of neuroscience, biomedical signal processing, and software engineering. I build real-world applications that bridge the gap between data science and human experience β from emotion-aware systems to robust backend APIs.
I work on projects like:
-
π§ Neuroscience Projects:
- EEG-based emotion detection during music listening using Muse device & public datasets (like DENS from OpenNeuro)
- Brainwave feature extraction (alpha, beta, theta), deep learning classification (PyTorch/TensorFlow)
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𧬠Neuroimaging & Functional Connectivity:
Using Python tools like nilearn, mne, and nibabelI to visualize brain activity, model cognition, and detect neurological patterns. -
π¬ Clinical Research Tools:
- ECG artifact detection, signal preprocessing, patient monitoring
- Biomarker analytics (e.g., miR-21, NLR) for cancer and pulmonary studies
-
π° Machine Learning Projects:
- Fake news detection with classic ML (LogReg, XGBoost) and deep learning (LSTM)
- COVID-19 time-series + geographic EDA with Plotly, Folium, pandas
- Regression-based case prediction models
I specialize in designing and deploying robust backend systems using:
- FastAPI & Django REST Framework for high-performance APIs
- JWT-based Authentication, email verification, and role-based access control
- Dockerized microservices deployed via Render, Vercel, and GitHub Actions
- WebSockets + Redis for real-time communication (e.g., chat apps)
- Multi-language support (English, Persian, French)
- Stripe/PayPal integration, file uploads, and localization
Some projects Iβve worked on include:
- Multi-vendor e-commerce platforms
- Real-time chat applications
- Persian voice API using TTS
- Secure user systems with CI/CD pipelines
- π οΈ FastAPI & Django backends, deployed with Docker, Render, and Vercel
- π Full-stack multi-vendor e-commerce & real-time chat systems
- π Auth with JWT, email verification, localization (English, Persian, French)
- π COVID-19 dashboards, fake news detectors, and EEG visualizations
- π£οΈ Persian vocal synthesis API with TTS in a friendly voice
Languages: Python, R , JavaScript, Golang (learning)
Frameworks: FastAPI, Django, DRF, Streamlit, Tkinte
ML/AI: PyTorch, TensorFlow, scikit-learn, XGBoost
Bio: mne, nilearn, nibabel, matplotlib, pandas
DB/DevOps: PostgreSQL, SQLite, MongoDB, Docker, Redis
Frontend: TailwindCSS, Vite, HTML/JS
π« Let's Connect
Open to collaboration in:
Backend API development & microservices
Neuroscience-based systems and data platforms
Clinical & biomedical analytics tools