Kenean Dita Meleta
About me
A quick snapshot of what I do and what I'm focused on.
I’m a Machine Learning & Backend Engineer focused on building end-to-end products: from data pipelines and model training to scalable APIs and deployment.
I like solving problems where accuracy, latency, and maintainability all matter especially when systems need to work reliably under real-world constraints.
- MLOps best practices
- Vector search + RAG patterns
- Distributed training
- Machine Learning Engineer
- Backend Engineer
- Data Analyst
Skills
Grouped for fast scanning no bars, just what I use.
Python
NumPy
Pandas
Scikit-learn
TensorFlow
PyTorch
Jupyter
Keras
Flask
Django
FastAPI
GoGo FiberREST APIs
PostgreSQL
MySQL
SQLAlchemy
Git & GitHub
Docker
Kubernetes
Postman
Vercel
VSCode
SlackProjects
A selection of ML, backend, and CLI work-focused on outcomes and clarity.
Machine learning project for market price prediction across crypto, forex, and commodities using engineered technical indicators with LSTM and XGBoost models.
- Predicts prices across BTC, ETH, XRP, LTC, Gold, Silver, EUR/USD, GBP/USD, USD/JPY.
- Supports daily, hourly, and weekly timeframes with XGBoost, LSTM, and ensemble models.
- Includes a Flask web API for automated/manual workflows and an interactive Streamlit UI.
Securely capture, organize, and retrieve personal memories (text, images, audio, video).
- Privacy-first storage with tagging, search, and timeline organization
- Media-friendly architecture using S3-style object storage and DynamoDB-style metadata
- Local dev environment via Docker + LocalStack
Analyze and predict cryptocurrency market movements with a minimal ML stack.
- Interactive Streamlit app for exploration + prediction workflows
- Clear, minimal project structure focused on crypto signal iteration
Boost terminal productivity with code generation, syntax highlighting, and interactive command prompts.
- CLI UX with rich formatting and interactive flows
- Designed to guide users from suggestion → execution safely
Deliver a modern, responsive e-commerce experience with clean UI and solid backend structure.
- Django-powered web platform with clean, responsive Tailwind UI
- Optimized for a smooth browsing and shopping flow across categories
Predict student performance from input features with an end-to-end ML + web deployment workflow.
- Covers preprocessing, training, evaluation, and serving predictions
- Flask app provides real-time inference from user inputs
View your latest GitHub public activity directly in the terminal (commits, PRs, issues, events).
- Connects to the GitHub API and formats output for fast scanning
- Clean, readable terminal UX for recent activity summaries
Contact
If you want to collaborate or chat about a role, reach out.
The fastest way to reach me is Telegram. I usually reply within 24-48 hours.