I am passionate about building intelligent systems through software engineering, machine learning, and continuous learning.
Rather than rushing through tutorials,I enjoy breaking down complex concepts into first principles and reinforcing my understanding by building practical projects.
My goal is to become a Machine Learning Engineer capable of designing, developing, and deploying reliable AI systems that solve real-world problems.
- Machine Learning Engineering
- Python for AI & Data Science
- NumPy
- Pandas
- SQL
- Git & GitHub
- Linux & Bash
- Algorithms & Data Structures
- Python
- SQL
- C
- Java
- Bash
- NumPy
- Pandas
- Matplotlib
- Power BI
- Microsoft Excel
- Git
- GitHub
- Linux
- VS Code
- Jupyter Notebook
- Scikit-learn
Build a strong software engineering foundation while mastering machine learning through practical, well-documented projects.
- Machine Learning Portfolio
- Customer Churn Prediction
- House Price Prediction
- Spam Email Classifier
- Recommendation System
- Linear Regression from Scratch
- Complete my Machine Learning roadmap
- Build high-quality end-to-end ML projects
- Contribute to open source
- Learn MLOps fundamentals
- Prepare for ML engineering internships
Learn deeply.
Build consistently.
Document everything.
Thank you for visiting my profile!