I'm an Experienced Machine Learning engineer, Python developer who started from Data Scientist job.
Careerpath, publications, certificates, skills and technologies are mostly listed at Linkedin
While most of my projects are closed-source, I'm happy to share some solo projects that higlights skills and stack.
| (status) type, Link | Scope | Technologies Used | Focus of implementation |
|---|---|---|---|
| (Ongoing) Handbook with code Leaks-in-ML-DS-prevention |
Experiment design, metric choice, pipeline rules to prevent leaks in ML/DS systems. Quick fixes where possible. |
Markdown  ML experiment design |
Experiment design consultations |
| (Completed) API service Face-Age-Detection-app |
Detects a single face and predicts age. Finetuned on UTKFace dataset. Returns JSON with bounds coordinates, age, and confidence |
Conda 
docker  DVC 
Fastapi  github actions  MlFlow 
Pytest  tensorflow
|
CI, conteinerization code quality flexebility of model ML updates |
| (In process) MLE project Optiver-Trading-at-the-Close-retrain-monitoring |
Monitored time series prediction pipeline with intensive feature engineering including Linear Regression and best proven model of boosting family |
Catboost 
Optuna 
Polars  |
Feature engineering, Boosting model, Monitoring, time series, metric decay automated prevention |
