- π¨βπ» Iβm a Machine Learning Developer with a strong focus on practical AI and backend development.
- π§ Skilled in Django, Flask, and Streamlit for building powerful and scalable backends.
- π€ Passionate about creating AI-driven solutions, APIs, and automation tools.
- π I believe in clean code, innovation, and solving real-world problems.
Languages:
- Python | SQL | JavaScript
Frameworks & Libraries:
- Machine Learning: TensorFlow | PyTorch | Scikit-Learn
- Backend: Django | Flask | FastAPI | Streamlit
- Data Visualization: Matplotlib | Plotly | Seaborn
Tools & Technologies:
- Databases: PostgreSQL | MySQL | SQLite
- Version Control: Git & GitHub
- Cloud: AWS | Heroku
- Others: Docker | Postman | Jupyter Notebooks
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Aesthetic Score Estimator
- π· Streamlit app to predict image aesthetic scores using InceptionResNetV2.
- Tech Stack: Python, TensorFlow, Streamlit
- View Project
-
Gesture-Controlled Smart Wheelchair
- 𦽠Developed an IoT-based wheelchair controlled by hand gestures with fall detection.
- Tech Stack: Arduino, Sensors, Flask
- View Project
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Smart Mirror with Raspberry Pi
- πͺ A low-cost smart mirror displaying time, weather, and calendar events.
- Tech Stack: Python, Raspberry Pi
- View Project
- LinkedIn: Shubham Kumar
- Email: Email me!
### π― Fun Facts About Me:
- π§βπ« I love mentoring others on AI/ML projects.
- πΉοΈ I play around with IoT devices for hobby projects.
- π I enjoy reading tech blogs and exploring new frameworks.
- π οΈ Favorite Editor: VS Code + Vim mode!