CSE Graduate | Python | Machine Learning | Data Analysis | Linux | DevOps
I'm a Computer Science and Engineering graduate interested in software development, machine learning, data analysis, and technology-driven problem solving.
- 🎓 BSc in Computer Science and Engineering
- 🐍 Working with Python and data-focused technologies
- 🤖 Interested in Machine Learning and AI
- 📊 Interested in Data Analysis and practical problem solving
- 🐧 Practical foundation in Linux and system administration
- ⚙️ Hands-on experience with DevOps tools and practices
- 🔬 Undergraduate research in MRI-based tumor progression analysis
Programming & Data
- Python
- C / C++
- Java
- JavaScript
- NumPy
- Pandas
- Data Preprocessing
- Data Analysis
Machine Learning & Research
- Machine Learning
- Deep Learning
- CNN
- Transfer Learning
- Feature Extraction
- Sequential Pattern Mining
- Medical Image Processing
DevOps & Systems
- Linux
- Git & GitHub
- Docker
- Kubernetes
- Terraform
- CI/CD
- Prometheus
- Grafana
Other Tools
- Jupyter Notebook
- VS Code
- Power BI
- MySQL
- Django
- Django REST Framework
My undergraduate thesis explored a hybrid approach combining CNN-based deep feature extraction with Sequential Pattern Mining for longitudinal MRI-based tumor progression analysis.
Focus areas:
- MRI image preprocessing
- CNN feature extraction
- Transfer Learning
- Symbolic representation
- Sequential Pattern Mining
- Longitudinal medical imaging analysis
Hybrid CNN and Sequential Pattern Mining framework for MRI-based tumor progression analysis.
A practical 29-step learning journey covering Linux, Git, Docker, CI/CD, Terraform, Kubernetes, monitoring, and production-oriented DevOps practices.
A structured knowledge base covering software engineering concepts, development practices, architecture, debugging, distributed systems, and engineering principles.
- Python for AI/ML
- Machine Learning fundamentals
- Data Science
- Deep Learning with PyTorch
- AI Engineering
- AI Security
- Adversarial Machine Learning