Iβm a Software Developer and Data Scientist passionate about solving real-world problems through AI, FinTech, and scalable web applications. With a strong foundation in Computer Science and Engineering, I transitioned from academia to full-time development, contributing to 40+ web development projects and 11+ AI/ML projects, both in team-based and solo settings.
I'm currently looking for remote or on-site opportunities in AI/ML Engineering or Full-Stack Development. Iβve completed over 40 front-end and back-end projects using technologies like JavaScript, React, Redux, Python, Django, and Rails. In addition, Iβve developed more than 11 AI/ML projects, particularly focused on FinTech applications, utilizing tools such as NumPy, Pandas, scikit-learn, PyTorch, and TensorFlow/Keras.
Languages & Frameworks:
C, C++, Java, Python, JavaScript, Ruby, SQL, HTML5, CSS3
Front-End: React, Redux, Bootstrap
Back-End: Django, Rails, PostgreSQL, MySQL, SQLite
AI/ML/Data Science: NumPy, Pandas, scikit-learn, PyTorch, TensorFlow/Keras, Matplotlib, Seaborn, FastAPI, Flask
Tools & Practices: Git, GitHub, TDD, Remote Pair Programming, Jest, Rspec, Netlify, Render
- π§ Former Lecturer and Chair of Computer Engineering with 5+ years of academic experience
- π» Completed 11+ AI/Data Science projects, including credit scoring, fraud detection and portfolio optimization
- π§βπ» Built 40+ full-stack web applications, both solo and collaboratively, using React, Redux, Django, Rails, and PostgreSQL
- π Skilled in remote collaboration, with over 1000 hours of pair-programming experience through Microverse
- π Experienced in applying machine learning techniques to practical problems, particularly in financial applications
- π± Continuously learning and staying updated with the latest in AI, data science, and modern web development frameworks
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π‘ Credit Card Fraud Detection
Achieved 99.22% accuracy using Random Forest (RF) and approximately 98.31% with LSTM, after applying feature engineering and other preprocessing techniques.
Tech: Python, scikit-learn, PyTorch, MLflow -
π Portfolio Optimization
Applied ARIMA, SARIMA, and LSTM models to optimize asset allocation
Tech: Python, scikit-learn, TensorFlow/Keras -
π Car Reservation System
Full-stack app with React front-end and Rails back-end
Tech: React, Redux, Rails
Check out more on my GitHub repositories.
- π« Email: amaremek@gmail.com
- π LinkedIn: linkedin.com/in/amaremek

