I build machine learning systems, backend APIs, and full-stack applications with a focus on practical engineering, mathematics, and scalable software.
I'm currently focused on turning ML concepts into real, usable applications and building stronger foundations in mathematics and computer science.
- 🧠 Machine Learning & Deep Learning systems
- ⚙️ Backend APIs and services
- 🤖 AI-powered applications
- 📊 Data processing and model evaluation
- 🔌 REST APIs & real-time systems
- 🌐 Full-stack applications
Python · PyTorch · Scikit-learn · NumPy · Pandas · Matplotlib
Node.js · NestJS · Express.js · TypeScript · REST APIs · WebSockets
MongoDB · MySQL
React · JavaScript · HTML · CSS · Tailwind CSS
Python · C++ · TypeScript · JavaScript
Git · GitHub · Docker · VS Code
Machine learning system for predicting chronic kidney disease using clinical data.
Focus: Machine Learning · Data Processing · Model Evaluation · Python
Backend-focused blogging platform built with NestJS and TypeScript.
Focus: NestJS · TypeScript · REST API · MongoDB · Authentication
Real-time tracking application designed around continuous data streaming and communication.
Focus: WebSockets · Backend Systems · Real-Time Data
Full-stack food eCommerce application with ordering, authentication, administration, and database management.
Focus: JavaScript · Backend Development · MySQL · Full Stack
I'm currently strengthening my foundations in:
- Linear Algebra
- Machine Learning
- Deep Learning
- Optimization
- Statistics
- Algorithms & Data Structures
- Backend Architecture
My goal is to understand why systems work, not just how to implement them.
Mathematics
↓
Machine Learning
↓
Deep Learning
↓
ML Engineering
↓
Production AI Systems


