Hi! I'm a Python developer focused on Machine Learning and Deep Learning.
I build models end to end — from raw data and feature engineering through training and evaluation, to the application that actually runs them. Most of what I know came from building rather than following tutorials: 17 projects on GitHub, each one finished, documented, and measured on data it never trained on.
My main areas of work:
- Python — main language
- Machine Learning & Deep Learning — primary focus
- Computer Vision — CNNs, transfer learning, real-time inference
- NLP, LLMs and RAG systems
- Data Analysis and the full modelling cycle
- Backend and delivery — FastAPI, Docker, Linux
What I care about: results that are measured instead of claimed, and knowing where a model breaks. Every project I publish states what it cannot do as plainly as what it can.
Currently finishing an intensive ML/DL program in Yerevan, and open to internship and junior roles.
