Machine Learning
Developing and deploying machine learning models for natural language processing, computer vision and predictive analytics.
- PyTorch
- TensorFlow
- scikit-learn
Writing about ML, Python & software craft
Hi, I'm Teo Parashkevov
Machine Learning Engineer & Senior Python Developer
I design and build scalable software systems that put machine learning to work, from data pipelines and model training to clean, production-ready Python. This is where I share what I learn about AI, data and software engineering.
What I do
Where I focus
Three areas I keep coming back to, both in my day-to-day work and on this blog.
Software Engineering
Designing scalable, robust and efficient software with a focus on performance, clean architecture and maintainable code.
- Python
- Design patterns
- Clean code
Data Analysis
Data preprocessing, exploratory analysis and statistical modeling that turn raw data into insight and data-driven decisions.
- Pandas
- NumPy
- SQL
From the blog
Latest posts
Notes, tutorials and talks on machine learning, Python and building software that lasts.
LatestPython
DevBG Presentation
My DevBG talk on Python's versatility: its syntax and features such as context managers and decorators, object-oriented programming, and its role in machine learning.
5 min read
Python
Confindustria Presentation
Notes from the Enterprise AI Application panel at the Confindustria Bulgaria conference, where I discussed how AI and machine learning drive innovation in manufacturing and integrate with MRP/ERP systems like SAP.
3 min read
AI
Facebook Prophet library paper review
A review of "Forecasting at Scale" by Sean J. Taylor and Benjamin Letham of Facebook, covering the Prophet model's trend, seasonality and holiday components, analyst-in-the-loop modeling, and automatic forecast evaluation.
15 min read
Python
Data Structures - Stack in Python
An introduction to the stack data structure in Python, covering sequential and linked implementations, a push/pop speed comparison, and two applications, an infix-to-postfix expression converter and a maze solver.
9 min read
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Let's talk
Have a project, an idea or a question? Let's connect.
Whether it's machine learning, Python engineering or an invitation to speak, I'm always happy to hear from you.