# Lyubov Yamschikova

Lyubov Yamschikova is a remote worker on Himalayas, Engineer (Data Science / Applied ML) at Huawei R&D, based in Armenia.

Source: https://himalayas.app/@lyubovyamschikova

```text
Machine Learning Engineer at Huawei R&D
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | Armenia |
| Authorized to work in | Russian Federation |
| Salary expectations | 43k+ USD |
| Job categories | Machine Learning Engineer, Data Scientist, Machine Learning Researcher, Pega Developer |
| Skills | Applied Machine Learning, Tabular ML, Classification, Time series Forecasting, Anomaly Detection, graph neural networks, Evolutionary Computing, RAG, Feature Engineering, Hyperparameter Optimization, Design of Experiments (DOE), SHAP Analysis, Retrieval Evaluation, MCP Integration, Python |
| LinkedIn | https://linkedin.com/in/lyubov-yamshchikova-614155221 |

## About

```text
I’m a Machine Learning Engineer with 4+ years of experience in applied ML research and open-source development. At Huawei R&D, I work on time-series forecasting, predictive maintenance, graph neural networks and optimization, taking projects from problem definition through experimental validation and customer handover.

Previously at ITMO University, I contributed 72 merged pull requests to GOLEM and FEDOT. I’ve co-authored four research papers, including a NeurIPS 2024 main-track paper. I’m also developing a RAGFlow-based retrieval component for an agent system.

My core stack includes Python, PyTorch, scikit-learn, gradient boosting, Linux and Docker. I’m interested in full-time ML Engineering and Applied ML roles. Based in Saint Petersburg, I’m open to remote work and relocation to Armenia or Serbia. English: C1.
```

## Experience

### Engineer (Data Science / Applied ML) (current)

[Huawei R&D](https://himalayas.app/companies/huawei-ireland). Oct 2024 - Present

```text
Developed ML solutions for critical memory-error prediction, time-series forecasting, and GNN-based anomaly detection. Independently owned ML workstreams from problem formulation to customer handover.
```

Skills: XGBoost, CatBoost, LightGBM, AutoML, SHAP, LSTM, TEFN, TimeMixer, FIT, GNN, RagFlow, Docker, MCP, Hit@K, MRR

### Machine Learning Engineer

ITMO University. Jun 2022 - Aug 2024

```text
Contributed 72 merged pull requests to GOLEM and FEDOT, implemented optimization algorithms and modeling APIs, and co-authored a NeurIPS 2024 paper on co-crystal design.
```

Skills: Python, PyTorch, scikit-learn, NumPy, Scipy, Pandas, SeaBorn, Matplotlib, Optuna, Golem, FEDOT

### Pega Developer

Masterdata. Oct 2021 - May 2022

```text
Developed Pega applications and contributed to client projects.
```

Skills: PEGA

## Education

### ITMO University

Master of Science, AI in Industry. 2022 - 2024

```text
Pursued a Master of Science in AI in Industry, focusing on applied machine learning and artificial intelligence.
```

### Saint Petersburg State University

Bachelor of Science, Applied Mathematics and Informatics. 2018 - 2022

```text
Earned a Bachelor of Science in Applied Mathematics and Informatics, building a strong foundation in mathematical modeling and computer science.
```

## Tech stack

- GitHub Actions
- GitLab CI
- NumPy
- Pandas
- pre-commit
- Python
- PyTorch
- MLflow
- scikit-learn
- Linux
- Git
- Docker
- XGBoost
- SciPy
- LightGBM
- CatBoost
- ClearML
- Optuna
- RAGFlow
- Seaborn
- Matplotlib

To contact Lyubov, message them from this profile with a Himalayas employer account: [Hire on Himalayas](https://himalayas.app/hire).

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