Computer Science Undergraduate | Backend & Machine Learning Developer
Focused on scalable backend systems, algorithmic problem solving, and applied machine learning.
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Programming: Python, Java, SQL
Backend Development: Spring Boot, REST APIs, Database Design
Machine Learning: Supervised Learning, Neural Networks, XGBoost, Model Evaluation
Foundations: Data Structures & Algorithms, Complexity Analysis, Probability & Statistics
Systems: Linux, Docker
🔗 https://github.com/Dhilshan-codebox/Wallet_Process
- Designed RESTful APIs for wallet operations
- Implemented transaction handling & validation logic
- Integrated relational database with structured schema
- Focused on backend architecture and data consistency
🔗 https://github.com/Dhilshan-codebox/ai-healthchatbot
- Built supervised ML pipeline for health risk prediction
- Applied feature engineering and model comparison
- Evaluated models using precision, recall, F1-score
- Developed Streamlit interface for inference & visualization
🔗 https://github.com/Dhilshan-codebox/cloud-dashboard
- Analyzed multi-cloud cost datasets
- Built dashboard for cost monitoring and optimization
- Explored usage distribution and performance trade-offs
- Backend system design
- API architecture
- Model optimization
- Strengthening DSA & system fundamentals